Movie Trailers Research Articles

Using movie trailers to enhance both f2f and online language learning outcomes in an EFL speaking class

This design-based research explored the language learning outcomes of watching movie trailers in a large speaking class offered in both f2f and online learning environments. In this 12-week study, the instruction was f2f for the first four weeks and online for the remaining eight weeks. The data were collected from 58 first-year university students via interviews and subjected to qualitative content analysis. The results indicated that watching trailers stimulated participation and improved speaking, pronunciation as well as learning/recalling vocabulary. Furthermore, movie trailers helped increase their motivation and willingness to communicate. Therefore, it is argued that the movie trailers deliver positive contributions by infusing numerous pedagogical advantages into foreign language curricula, suggesting that it is rewarding to use them in both f2f and online speaking classes.

Strategi Komunikasi Pemasaran Terpadu pada Pada Promosi Film Nanti Kita Cerita Tentang Hari Ini

Film has developed into a medium of expression that has commercial value. Film also has the function of mass media, namely to entertain audiences or viewers. Behind the signs of progress and the current national film industry, there are still gaps and ups and downs in its growth. There are a number of problems that are still found in the film production process. To overcome this problem in the production of a film, a promotional strategy is needed to disseminate information widely regarding the publication of films that have been produced. The purpose of this study is to find out the integrated marketing communication strategy in the film "Later We Tell About Today". The results found were an integrated marketing communication strategy used by the production team in the film Nanti Kita Cerita tentang Hari Ini through four ways: advertising, promotion, public relations and personal selling. The advertising strategy for films is carried out though the use of Instagram and YouTube media in the form of photos and videos posted on the official social media of NKCTHI and Visinema Pictures. The photos and videos posted include: updates on the number of viewers, movie trailers, short movie clips, behind the scenes videos, audience reviews and so on. The promotion strategy is holding quizzes with prizes, giveaways, and ticket discounts for the audience. The public relations strategy is to hold media visits with various local and national radio mass media, and hold press conferences in collaboration with print and online media prior to the official showing of the film. Personal selling strategy, namely by holding meet and great events, with the spectators, as well as fans or fans of the cast of NKCTHI.

Film Dokumenter Silek Tuo Gunuang

Modernization and changes in lifestyles that have begun to be acculturated with foreign cultures have made this culture fade little by little. Answering the challenges of the times requires an audio-visual media in the form of documentary films as a documentation archive so that it can be passed on by the next generation and reintroduced silek tuo gunuang effectively and efficiently. The design aims to digitally archive silek tuo gunuang as a cultural heritage that must be preserved through documentaries to the public, especially the people of the city of Padang Panjang. Using the 4D planning method (Four –D). Consists of (Define), (Design), (Develop) and (Desseminate). SWOT analysis approach. The main media is in the form of this documentary film, providing historical information, permitting flow, requirements and other information from this silek, and due diligence has been carried out on several people, ranging from academics, practitioners and the public in general, received a positive response, it can be concluded that the film is suitable for distributed, with supporting media in the form of movie trailers, posters, x-banners, stickers and t-shirts to support the delivery of information from this documentary.

Dataset size considerations for robust acoustic and phonetic speech encoding models in EEG.

In many experiments that investigate auditory and speech processing in the brain using electroencephalography (EEG), the experimental paradigm is often lengthy and tedious. Typically, the experimenter errs on the side of including more data, more trials, and therefore conducting a longer task to ensure that the data are robust and effects are measurable. Recent studies used naturalistic stimuli to investigate the brain's response to individual or a combination of multiple speech features using system identification techniques, such as multivariate temporal receptive field (mTRF) analyses. The neural data collected from such experiments must be divided into a training set and a test set to fit and validate the mTRF weights. While a good strategy is clearly to collect as much data as is feasible, it is unclear how much data are needed to achieve stable results. Furthermore, it is unclear whether the specific stimulus used for mTRF fitting and the choice of feature representation affects how much data would be required for robust and generalizable results. Here, we used previously collected EEG data from our lab using sentence stimuli and movie stimuli as well as EEG data from an open-source dataset using audiobook stimuli to better understand how much data needs to be collected for naturalistic speech experiments measuring acoustic and phonetic tuning. We found that the EEG receptive field structure tested here stabilizes after collecting a training dataset of approximately 200 s of TIMIT sentences, around 600 s of movie trailers training set data, and approximately 460 s of audiobook training set data. Thus, we provide suggestions on the minimum amount of data that would be necessary for fitting mTRFs from naturalistic listening data. Our findings are motivated by highly practical concerns when working with children, patient populations, or others who may not tolerate long study sessions. These findings will aid future researchers who wish to study naturalistic speech processing in healthy and clinical populations while minimizing participant fatigue and retaining signal quality.

Sentiment Analysis to Predict Movies Success Rate Based on NLTK Movie Review Corpora Using Machine Learning

With the proliferation of social networks, peoples express their opinions about different things or issues on social media without any hesitation. The rapid growth of textual data on social media are required to develop algorithms and techniques for recognizing people’s opinions towards specific subject. These opinions are helpful in business plans development, marketing trends, political parties’ popularity. The film industry can be an important revenue generating industry of any country. Peoples express their opinion on movie trailer using social media. The effective sentiment analysis of opinions on social media such as Twitter can be helpful to predict movie ratings. This research work focuses on developing a technique to predict movie success rate on the basis of tweets data. We have collected tweets about different movies after their trailer released by using hash tag method. We applied Sentiment analysis approach using Machine learning. In this study we utilized four key algorithms (Naïve Bayes, SVM, Neural Networks, decision tree) on NLTK Movie review corpora.

Accurate Machine Learning Predictions of Sci-Fi Film Performance

A groundbreaking method is introduced to leverage machine learning algorithms to revolutionize the prediction of success rates for science fiction films. In the captivating world of the film industry, extensive research and accurate forecasting are vital to anticipating a movie’s triumph prior to its debut. Our study aims to harness the power of available data to estimate a film’s early success rate. With the vast resources offered by the internet, we can access a plethora of movie-related information, including actors, directors, critic reviews, user reviews, ratings, writers, budgets, genres, Facebook likes, YouTube views for movie trailers, and Twitter followers. The first few weeks of a film’s release are crucial in determining its fate, and online reviews and film evaluations profoundly impact its opening-week earnings. Hence, our research employs advanced supervised machine learning techniques to predict a film’s triumph. The Internet Movie Database (IMDb) is a comprehensive data repository for nearly all movies. A robust predictive classification approach is developed by employing various machine learning algorithms, such as fine, medium, coarse, cosine, cubic, and weighted KNN. To determine the best model, the performance of each feature was evaluated based on composite metrics. Moreover, the significant influences of social media platforms were recognized including Twitter, Instagram, and Facebook on shaping individuals’ opinions. A hybrid success rating prediction model is obtained by integrating the proposed prediction models with sentiment analysis from available platforms. The findings of this study demonstrate that the chosen algorithms offer more precise estimations, faster execution times, and higher accuracy rates when compared to previous research. By integrating the features of existing prediction models and social media sentiment analysis models, our proposed approach provides a remarkably accurate prediction of a movie’s success. This breakthrough can help movie producers and marketers anticipate a film’s triumph before its release, allowing them to tailor their promotional activities accordingly. Furthermore, the adopted research lays the foundation for developing even more accurate prediction models, considering the ever-increasing significance of social media platforms in shaping individuals’ opinions. In conclusion, this study showcases the immense potential of machine learning algorithms in predicting the success rate of science fiction films, opening new avenues for the film industry.

The Application of Socio-Cultural Pedagogical Approach in Teaching Popular Literature

The trend of online learning during the Covid-19 pandemic has driven English Literature lecturers to come up with effective ways of teaching literature. Concerning this issue, this research aims to analyze how literature, especially popular literature, is taught online. Focusing on the socio-cultural pedagogic principles, the approach of teaching popular literature is examined using a qualitative descriptive approach. This study was conducted at English Literature Department, Adab and Humanity Faculty, UIN Sunan Ampel Surabaya, involving two popular literature lecturers. The data were obtained through interviews, observations, and documentation and analyzed using the interactive analysis method. It was found that the socio-cultural pedagogic principles were applied partially. (1) the principle of engagement was applied by warming-up questions, mind-mapping technique, mentioning adjectives, and watching movie trailers, (2) the principle of intelligibility was not applied because the lecturers explained the theory of genre and sub-genre characteristics before giving examples, and (3) the principle of participation was applied by delivering quizzes through various online platforms, like Google Classroom, Mentimeter, and Kahoot! and giving tasks which were uploaded in UIN Sunan Ampel’s e-learning system, SAILS ‘Sunan Ampel Integrated Learning Service’. The significance of these findings will contribute to the teaching and learning process of popular literature. Besides, the results will provide insight for popular literature lecturers to apply a better teaching approach.

Cinema 21 Movie Trailer Catalog Application Android Based

In this global era, the internet has penetrated various fields such as social, advertising, and business. With a large number of films, a film genre classification is made to assist users in finding and selecting the right films to watch. The genre in the film is the main element in a recommendation system, because with the classification of genres it can make it easier for the system to search for a film based on certain types. The string matching method, which is part of the string search process, plays an important role in getting documents that match your information needs more quickly. Simply by using a smartphone and internet access, people can enjoy various information on movie trailers. Then the problem is formulated how to make an android-based cinema 21 movie trailer catalog application with a string matching algorithm. Can improve better service to consumers, where consumers are expected to be able to access online so that consumers can find out information about movie trailers on the application.

Instructions and article template for the FIA 2020/22 and XXIX Sobrac meeting

This field is intended for the abstract of the article which must contain between 180 and 300 words. The items resumo, palavras-chave, PACS, title, abstract, and keywords should constitute the first page (i.e., avoid extending them to the following page). The abstract should present a concise presentation of the scientific-technical article, containing an introduction, the objective, a synthesis of the methodology, the main result, and the final conclusion (preferably in that order). No separate items or sections are required within the abstract. Thus, the reader may acknowledge the essence of the article content. Remember that the abstract is like a movie trailer, people will consider reading the complete article if the abstract is interesting. The abstract should not contain new information not contained within the article; undefined abbreviations; previous discussion of another literature; references and citations or excessive detail about the methods employed. It is also not the introductory paragraph of the work; this should be placed at the beginning of the text. Use only relevant and useful information, exercising empathy with prospective readers. For a cohesive and elegant abstract that represents the article, write a preview, write the paper completely, and then review it by looking at whether its content consistently reflects the content of the document. Following the abstract, the author should list up to five keywords (avoid using the same words contained in the article’s title). After this step, there are also the PACS, which are a hierarchical classification system (more details within the text) and, finally, title, abstract, and keywords in English (PACS are only put after resumo in Portuguese contributions).

Automatic Movie Tag Generation System for Improving the Recommendation System

As the content industry develops, the demand for movie content is increasing. Accordingly, the content industry is actively developing super-personalized recommendation systems that match consumers’ tastes. In this paper, we study automatic generation of movie tags to improve the movie recommendation system. We extracted background sounds from movie trailer videos, analyzed the sounds using STFT (Short-Time Fourier transform) and major audio attribute features, and created a genre prediction model. The experimental results show that the pre-collected dataset and the data extracted via the model are similar when compared. In this research, we suggest the methodology of an automatic genre prediction system for movie information from trailer videos. This will help to reduce the time and effort for metadata generation for a recommendation system.

Quality of Post-Edited Interlingual Subtitling: FAR Model, Translator’s Assessment and Audience Reception

This paper analyzes the quality of machine translated interlingual subtitles, which were post-edited in the language pair EN/PT-BR. Our analyses applied the FAR model, a Translation Quality Assessment Model, to the PT-BR subtitles of The Red Sea Diving Resort movie trailer, correlating it to empirical data collected with translators (quality assessment) and audience (reception). Reception data was collected with undergraduate students, which were divided into two groups: the control group that watched the subtitled trailer available on Netflix; and the experimental group that watched the trailer with post-edited subtitles. Quality data was collected with translators and they watched the trailer with post-edited subtitles. We used a 5-point Likert-type scale, a questionnaire and a guided think-aloud protocol to collect our data. Data collected with both translators and students were correlated with the FAR model error scores (Functional Equivalence, Acceptability and Readability). Our results indicate that the post-edited subtitles had good quality in terms of meaning and target language norms; however, the technical parameters had lower quality, which affected the trailer appreciation as reported by most of the audience. Due to the small sample size, further empirical studies are required to obtain solid standards for assessing the quality of post-edited subtitles.

Prerelease Consumer Buzz: Current State of Research and Future Research Ideas

Nowadays, merchants’ marketing strategies have broken time and distance barriers, allowing consumers to interact with advertisements, and merchants can gather a large number of consumers’ feedback at the same time. PRCB is proposed and used because it can engage and create consumers’ interest prior to the release. Different from EWOM, PRCB is usually launched before product release, and such activities can be divided into three types: communication, search, and participation in experience activities. PRCB can accurately predict the development trend of products due to its dynamic nature, which was proven by introducing data on movie box office and movie trailer clicks. In addition, the VSM platform (HSX) is also introduced to show consumers’ expectation and interest in new items by analyzing the evolving trend of the stock market. Finally, this paper discusses the universality of PRCB in different consumer groups and the research direction to further improve its prediction accuracy.

FILM DISCOURSE AS A TWO-LEVEL SYSTEM OF COMPONENTS: A FUNCTIONAL VIEW

The article is devoted to the problem of modeling the structure of film discourse from a functional point of view. The author explained the essence of the concept of “film discourse” and clarified its relationship with related terms. The article denies the expediency of identifying such concepts as “telecine cinematographic discourse” and “cinematographic discourse” with film discourse. The material proves the hyperonymic status of film discourse. It has been noticed that scientists use the following terms in film discourse studies: film text, film dialogue, film replica, film trailer, film announcement and film slogan. It has been determined that film dialogues, film replicas and film slogans are among them of a purely verbal nature. Movie texts, along with movie trailers and movie announcements, accumulate verbal and other semiotic signs. It is established that the connections between the groups of these concepts show the transition from the largest to the smallest: 1) film text – film dialogue – film replica; 2) film trailer – film announcement – film slogan. The expediency of applying a functional approach to modeling the structure of film discourse based on the provisions of the methodology of discourse analysis and the idea of the dyadic nature of the structure of discourse as such is substantiated. However, it is also suggested to take into account the two levels of communication in film discourse (external level – collective author / audience; internal level – addressee character and addressee character) and to distinguish between ecto- and entocomponents. Entocomponents are film texts with film dialogues and film lines. These are products of communicative activity that have a certain meaning and semiotic form that can convey this meaning. They are also marked by integrity, completeness and perform a variety of discourse functions, in addition to advertising. Ectocomponents are film trailers, film announcements and film slogans, because they are the products of communicative activities that have their meaning and semiotic form, while being relatively complete and concise with a focus on the implementation of primarily advertising function. It is determined that ento- and ectocomponents in the structure of film discourse interact with each other on the principle of hierarchical subordination. Ectocomponents are subordinated to ethnic components, despite the fact that external components have a wider functional palette. It is proved that the relations between ento- and ectocomponents are established approximate identity, because movie trailers and movie announcements are almost always created on the basis of pre-borrowed frames, episodes and cues / dialogues from the main movie text. This was confirmed by a comparative analysis of the language organization of the film trailer and the film text of the documentary “Your Vasyl”.

Discursive Symbolism in A Semiotic Approach on the Joker Movie Trailer

Movie trailers are powerful marketing tool to influence audiences. Joker is the most famous villain character in the DC world. Data shows that the Joker movie trailer uploaded by movie-themed verified YouTube accounts has been watched more than 71 million times in four months. The trailer is discussed through a semiotic perspective to analyze discursive symbols in a film trailer. The result shows that there are three main connotative meanings for Joker: (1) a good person who loves his mother, (2) the formation of his identity, and (3) the transformation from a good person to a criminal.

Viewer Behavior On Social Media: Viral Marketing of A Movie Trailer In Indonesia

A trailer is a brief description of a film and provides a 1 to 3 minute cinematic experience that displays images from the film to influence consumer behavior. This research was conducted to propose a conceptual model regarding affective, cognitive, and environmental responses to viral marketing, which are moderated by audience behavior, for the movie trailer of “Spiderman: Far from Home.” The film was released in July 2019 by Marvel Cinematic Universe (MCU). This study adopted the wheel of consumer analysis to bridge the research gap. An online survey was forwarded to 200 respondents using structured questionnaires through social media sites, such as Line, WhatsApp, Facebook, and e-mail. The data were then analyzed using structural equation modeling (SEM). The results showed that the audience’s affective, cognitive, and environmental responses significantly influenced viral marketing. The results further indicated that the audience’s behavior was not a moderating variable, as the significance level was less than 0.05. The results can contribute to determining social media marketing strategies for promoting film trailers that are beneficial for companies, especially in Indonesia. Therefore, the companies can grow and become more competitive in the film industry. Although this study discusses viral marketing in the film industry, the results can also contribute to other industries, in order to increase the popularity of their products.

A Hybrid Recommendation System of Upcoming Movies Using Sentiment Analysis of YouTube Trailer Reviews

Movies are one of the integral components of our everyday entertainment. In today’s world, people prefer to watch movies on their personal devices. Many movies are available on all popular Over the Top (OTT) platforms. Multiple new movies are released onto these platforms every day. The recommendation system is beneficial for guiding the user to a choice from among the overloaded contents. Most of the research on these recommendation systems has been conducted based on existing movies. We need a recommendation system for forthcoming movies in order to help viewers make a personalized decision regarding which upcoming new movies to watch. In this article, we have proposed a framework combining sentiment analysis and a hybrid recommendation system for recommending movies that are not yet released, but the trailer has been released. In the first module, we extracted comments about the movie trailer from the official YouTube channel for Netflix, computed the overall sentiment, and predicted the rating of the upcoming movies. Next, in the second module, our proposed hybrid recommendation system produced a list of preferred upcoming movies for individual users. In the third module, we finally were able to offer recommendations regarding potentially popular forthcoming movies to the user, according to their personal preferences. This method fuses the predicted rating and preferred list of upcoming movies from modules one and two. This study used publicly available data from The Movie Database (TMDb). We also created a dataset of new movies by randomly selecting a list of one hundred movies released between 2020 and 2021 on Netflix. Our experimental results established that the predicted rating of unreleased movies had the lowest error. Additionally, we showed that the proposed hybrid recommendation system recommends movies according to the user’s preferences and potentially promising forthcoming movies.

YouTube as a source of educational content in teenagers’ learning practices

YouTube is one of the most popular online social spaces nowadays combining features of both a huge repository of information and a social networking service. Millions of people use this video-sharing platform daily. Entertainment (sports, comedy, music, movie trailers), information seeking (missed news, product reviews, research on a specific topic), and educational purposes (how-to videos, learning math, or tactics for video games) were discussed as main motivational aspects for watching YouTube videos (Lagger et al. 2017). Usage of YouTube for educational purposes became particularly relevant for teenagers as a support for their home-schooling. Our goal is to find out what strategies teenagers use to find relevant educational content on the service and how important this content was for their everyday learning practices before and during the COVID pandemic. We analyzed online behavior of 34, 14 to 15-year old teenagers (47% male) who took part in a long-term adventure trip with digital media left aside. We gathered quantitative data seven months before the trip (March 2019), just before the trip (October 2019), on the last day of the trip (April 2020), and five months after the trip (September 2020). We also conducted in-depth interviews with nine teenagers, who named YouTube as their favourite online service. Our intention is now to conduct nine additional interviews with the same teenagers to see whether their everyday learning practices changed within the last year. Implications drawn from this study, further research perspectives, and limitations will be presented and discussed.

The main methods of introducing design elements and graphics in video

The subject of the study is the process of many aspects of audiovisual creativity that must be taken into account when creating a video. The object of the work is to create a movie trailer through the use of design elements and graphics in the video sequence. The study examines the trailer of a post-apocalyptic fantasy genre called "Genesis", in which the two main characters are depicted as opposites. The work examines and describes in detail all the stages of creating a video trailer for the film, including visual representation (rendering the texture of the central objects, choosing a font to display the title of the film, controlling the movement of actors and moving frames), audio accompaniment of the video sequence (music, voiceover, sound effects). The paper notes that the main goal of all the stages of trailer development considered in the article is to create an audiovisual project of professional quality. The main methods used in the study are visual effects modeling and 3D modeling in Houdini, creating realistic matte paintings in Photoshop and video compositing in Nuke. The main conclusions of the study are those specialized programs that allow you to create a high-quality author's product. This software will become the core of the project, since it is in it that all the elements will be combined into one final clip due to the high-quality integration of various objects of the scene. The novelty of the research lies in the fact that within the framework of the work, the characteristics of the possibilities of working with various video editors and graphic programs were carried out, which together help the creators of movie trailers and other similar products to realize the tasks of entertainment and quality of the projects produced.

Кінодискурс як дворівнева система складників: функційний погляд

The article is devoted to the problem of modeling the structure of film discourse from a functional point of view. The author explained the essence of the concept of “film discourse” and clarified its relationship with related terms. The article denies the expediency of identifying such concepts as “telecine cinematographic discourse” and “cinematographic discourse” with film discourse. The material proves the hyperonymic status of film discourse. It has been noticed that scientists use the following terms in film discourse studies: film text, film dialogue, film replica, film trailer, film announcement and film slogan. It has been determined that film dialogues, film replicas and film slogans are among them of a purely verbal nature. Movie texts, along with movie trailers and movie announcements, accumulate verbal and other semiotic signs. It is established that the connections between the groups of these concepts show the transition from the largest to the smallest: 1) film text – film dialogue – film replica; 2) film trailer – film announcement – film slogan. The expediency of applying a functional approach to modeling the structure of film discourse based on the provisions of the methodology of discourse analysis and the idea of the dyadic nature of the structure of discourse as such is substantiated. However, it is also suggested to take into account the two levels of communication in film discourse (external level – collective author / audience; internal level – addressee character and addressee character) and to distinguish between ectoand entocomponents. Entocomponents are film texts with film dialogues and film lines. These are products of communicative activity that have a certain meaning and semiotic form that can convey this meaning. They are also marked by integrity, completeness and perform a variety of discourse functions, in addition to advertising. Ectocomponents are film trailers, film announcements and film slogans, because they are the products of communicative activities that have their meaning and semiotic form, while being relatively complete and concise with a focus on the implementation of primarily advertising function. It is determined that ento- and ectocomponents in the structure of film discourse interact with each other on the principle of hierarchical subordination. Ectocomponents are subordinated to ethnic components, despite the fact that external components have a wider functional palette. It is proved that the relations between ento- and ectocomponents are established. approximate identity, because movie trailers and movie announcements are almost always created on the basis of pre-borrowed frames, episodes and cues / dialogues from the main movie text. This was confirmed by a comparative analysis of the language organization of the film trailer and the film text of the documentary “Your Vasyl”

Trailers12k: Improving Transfer Learning with a Dual Image and Video Transformer for Multi-Label Movie Trailer Genre Classification

Trailers12k: Improving Transfer Learning with a Dual Image and Video Transformer for Multi-Label Movie Trailer Genre Classification