Semantic Orientation Research Articles

Identification of the to-be-improved product features based on online reviews for product redesign

Acquisition of customer needs usually serves as the basis for the identification of to-be-improved features for the product redesign process. However, the customer's true needs tend to be non-obvious and are difficult to extract from the data source like interviews or market survey. In the era of Big Data, with the advances in e-commerce, the customer's online review has become one of the most important data source to reveal the insight of customer's preference. In this paper, an online-review-based approach is introduced to identify the to-be-improved product features. The product features and corresponding opinions are extracted and reduced based on the semantic similarity. A structured preference model based on the semantic orientation analysis is constructed. A redesign index is subsequently introduced to measure the priority of redesign for each feature, and a target feature selection model is created to identify the to-be-improved features from candidate features considering engineering cost, redesign lead time and technical risk. A case study for smartphones is developed to demonstrate the effectiveness of the developed approach. In the future study, the online reviews may be combined with the traditional survey data to provide a more effective and reliable identification on the to-be-improved product features.

Messiaen analyzes Messiaen: author’s comments on the piano cycle «Twenty Contemplations on the Infant Jesus»

Messiaen analyzes Messiaen: author’s comments on the piano cycle «Twenty Contemplations on the Infant Jesus»

Semantic Orientation Based Decision Making Framework for Big Data Analysis of Sporadic News Events

The growing public endorsement of social media has changed public life dramatically. Public views and suggestions have now become important for both organizations and individuals. Big data scientists and data mining analysts are increasingly moving their attention toward sentiment analysis because of the growing rate of user-generated contents over microblogging sites. Sentiment analysis is a research field related to computationally identifying public views, feelings, recommendations, opinions and sentiments about focused entities. Research literature shows traces of research work on product and movie reviews for better decision making using big data analysis. Big data analytics offer remarkable opportunities to individuals as well as organizations by providing proficient decision making frameworks and improved forecasting models. The sociopolitical collaboration has gained much attention from online users over the past few years. In this research we analyzed public views, sentiments and opinions shared on social media about a democratic participatory activity called Azadi-March, which was held in Pakistan with participation of online users from all over the world. We carried out computational semantic orientation on public tweets for analyzing public awareness and the effects of online communication through social media over the real world public decision making. We employed unsupervised approach for identification and scoring of tweets. We used lexicon based approach in which annotated lexica are used for scoring verbs, adverbs and other parts of speech. A corpus is used for scoring adjectives and informal opinion indicators. Emoji, exclamatory statements and other additional features are incorporated for supplementary analysis. We noticed that emoticons and NetLingo play significant role in sentiment orientation. Opinion groups are generated from all retrieved tweets and aggregate sentiment weights of opinion groups are computed. The findings of this study indicate that our proposed lexicon based approach outperforms the contemporary machine learning techniques by achieving 86% average accuracy at sentence level sentiment analysis.

ПСИХОЛОГИЧЕСКИЕ МЕХАНИЗМЫ ПЕРЕЖИВАНИЯ ПЕДАГОГАМИ ПРОФЕССИОНАЛЬНОГО КРИЗИСА ЛИЧНОСТИ

Целью исследования явилось теоретическое обоснование содержания категории «психологический механизм переживания профессионального кризиса личности» и эмпирическое обоснование существования ценностно-смыслового, рефлексивного механизмов, а также механизма опережающего отражения, которые актуализируются в ситуации переживания педагогами профессионального кризиса личности.Метод и методология проведения работы. Методологической основой работы явились контекстный, системный историко-эволюционный и феноменологический подходы. В качестве организационных методов применялись метод поперечных срезов и лонгитюдный метод. Сбор эмпирических данных осуществлялся посредством опросных методов: методика биографической рефлексии М.В. Клементьевой, дифференциальный тест рефлексивности Д.А. Леонтьева, Е.Н. Осина, тест смысложизненных ориентаций Д. А. Леонтьева, феноменологическая анкета «Переживание профессионального кризиса личности».Результаты. Теоретико-методологический анализ позволил сформулировать определение категории «психологический механизм переживания профессионального кризиса личности», а также обосновать предположение о том, какие психологические механизмы переживания педагогами профессионального кризиса личности актуализируются в ситуации кризиса. Результаты эмпирического исследования позволили достоверно доказать существование ценностно-смыслового, рефлексивного и антиципационного механизмов переживания профессионального кризиса личности. Было установлено изменение смыслов выполняемой деятельности и переоценка ценностей, проявление у педагогов потребности в рефлексии собственных переживаний и состояний. Также отмечено, что в ситуации переживания профессионального кризиса личности у педагога происходит поиск новых смысловых ориентиров, процесс осознания собственного профессионального потенциала.Область применения. Результаты исследования могут стать эмпирической основой для разработки программ психолого-педагогического сопровождения педагогов, переживающих профессиональный кризис личности.

“Zhivotvornyi Russkii Yazyk” (Learning of the “Home” Concept based on Works by A. Yashin)

The article is dedicated to the problems of the basic cultural concepts learning that help to form value and semantic orientations of schoolchildren. The authors consider the procedures of the work on the concept at Russian language lessons and during the out-of-school activity supported by the technology of the word concept analysis. It is offered to use the texts by the Vologda writer A. Yashin as the illustrative material. Its analysis allows to present the “home” concept as a national culture phenomenon.

《齐民要术》“遍”参与的组合在三个平面上的语法特征

Whenever the “Bian” in Qi Min Yao Shu should attach to a action verb. When “Bian” is an adjective, it can be used as an adverbial conjunction to modify a verb, or it can be used as a complement to supplement the result of a verb. Syntactically, the “Bian” places before or after the structure center. When “Bian” is a measure word for the frequency of an action, it should be combined with a numerical word, and the numerical classifier phrase can freely get into the Serial Verb Construction and the Adverbial Centred Structure，and this phrase can place before or after the structure center to supplement the result. The fact that “Bian” can express the same meaning in the different syntactic positions indicates the syntactic forms are imperfect. Semantically, no matter which kind of “Bian” enter a structure, its semantic orientations are all the verbs which “Bian” is attaching to. However, the semantic structure of the syntactic structures which “Bian” gets into is not strict. Therefore the “action-result”, “result-action” and “manner-action” semantic structure might be formed between the adjective “Bian” and the structure center, the “action-result” and “result-action” semantic structure might be formed between the numerical classifier phrase and the structure center. These kinds of semantic structures interrelate with each other, and present different development potential under the influence of the Principle of Chinese Time Sequence. Pragmatics, the unstable semantic structures can only express imperfect pragmatic structures through the imperfect syntactic forms.

Пьеса Т. Уайлдера “Наш городок” в контексте драматургии А. Чехова

The research is connected with a new approach to understanding the poetics of T. Wilder's play “Our Town” (1938). The comparative and intertextual methods of research are applied. This methodological approach made it possible to determine the semantic orientations of the artistic world of T. Wilder, to trace the features of Chekhov's aesthetic principles reflection in his play. The scientific novelty of the work is determined by the absence of dramatic heritage of T. Wilder in the context of Chekhov's works in contemporary literary criticism of studies. The chosen scientific approach testifies that the development/assimilation of the experience of Chekhov's dramaturgy by the American playwright was promoted by the ability of Chekhov's poetics to vary and to exist in various contexts. A distinctive feature of the play “Our Town” is its dialogic attitude to Chekhov's plays, which affected, first of all, the space-time organization of the text. The comprehension of the poetics of T. Wilder's play “Our Town” through the prism of Chekhov's dramatic art fills the lacuna that existed until recently in literary criticism. Chekhov's motifs, organically entering the art of “Our Town”, expand its semantic horizons. Despite his own interpretation of Chekhov's artistic principles, the depiction of life and human in T. Wilder's play is Chekhov's fundamentally every day and non-heroic thing, and the whole system of pictorial means is aimed at the construction of ordinary events to universal and general philosophical level.

Контент-анализ когнитивного состава концепта «успешность» у студентов с разным опытом отношений в родительской семье

The research shows the resultative character of predominant markers, i.e. students consider “success” to be the result of some effort and targeted activity. Cognitive structure of “success” concept in groups of students with different experience in parental family relations is characterized by specific combination of semantic features. Positive experience in parental family relations promotes semantic orientation of subjects on success (the substantial structure of markers is characterized by a positive modality). If speaking about the cognitive structure of “success” concept for students with an adverse experience in parental family relations, it is characterized by prevalence of contradictory modalities, material component of success prevails in this case. The prevalence of emotional and estimation markers in this group allows to fix an insufficient cognitive maturity of students. The group of students with an average experience in parental family relations has a negative notion of “success” and negative modality of its cognitive structure. This group is characterized by the lack of cognitive and semantic orientation, i.e. students have almost no ability to realize and understand the signs of the concept mentioned above. The group of students with an inconsistence experience in parental family relations is characterized by various markers of “success” concept cognitive structure. Positive and negative modalities are found here in equal proportion, the signs of students’ intellectual and personal resources intercommunication are found.

Malay sentiment analysis based on combined classification approaches and Senti-lexicon algorithm.

Sentiment analysis techniques are increasingly exploited to categorize the opinion text to one or more predefined sentiment classes for the creation and automated maintenance of review-aggregation websites. In this paper, a Malay sentiment analysis classification model is proposed to improve classification performances based on the semantic orientation and machine learning approaches. First, a total of 2,478 Malay sentiment-lexicon phrases and words are assigned with a synonym and stored with the help of more than one Malay native speaker, and the polarity is manually allotted with a score. In addition, the supervised machine learning approaches and lexicon knowledge method are combined for Malay sentiment classification with evaluating thirteen features. Finally, three individual classifiers and a combined classifier are used to evaluate the classification accuracy. In experimental results, a wide-range of comparative experiments is conducted on a Malay Reviews Corpus (MRC), and it demonstrates that the feature extraction improves the performance of Malay sentiment analysis based on the combined classification. However, the results depend on three factors, the features, the number of features and the classification approach.

Implicit aspect extraction in sentiment analysis: Review, taxonomy, oppportunities, and open challenges

Sentiment analysis is a text classification branch, which is defined as the process of extracting sentiment terms (i.e. feature/aspect, or opinion) and determining their opinion semantic orientation. At aspect level, aspect extraction is the core task for sentiment analysis which can either be implicit or explicit aspects. The growth of sentiment analysis has resulted in the emergence of various techniques for both explicit and implicit aspect extraction. However, majority of the research attempts targeted explicit aspect extraction, which indicates that there is a lack of research on implicit aspect extraction. This research provides a review of implicit aspect/features extraction techniques from different perspectives. The first perspective is making a comparison analysis for the techniques available for implicit term extraction with a brief summary of each technique. The second perspective is classifying and comparing the performance, datasets, language used, and shortcomings of the available techniques. In this study, over 50 articles have been reviewed, however, only 45 articles on implicit aspect extraction that span from 2005 to 2016 were analyzed and discussed. Majority of the researchers on implicit aspects extraction rely heavily on unsupervised methods in their research, which makes about 64% of the 45 articles, followed by supervised methods of about 27%, and lastly semi-supervised of 9%. In addition, 25 articles conducted the research work solely on product reviews, and 5 articles conducted their research work using product reviews jointly with other types of data, which makes product review datasets the most frequently used data type compared to other types. Furthermore, research on implicit aspect features extraction has focused on English and Chinese languages compared to other languages. Finally, this review also provides recommendations for future research directions and open problems.

English

English

Automatic Semantic Orientation of Adjectives for Indonesian Language Using PMI-IR and Clustering

We present our work in the area of sentiment analysis for Indonesian language. We focus on bulding automatic semantic orientation using available resources in Indonesian. In this research we used Indonesian corpus that contains 9 million words from kompas.txt and tempo.txt that manually tagged and annotated with of part-of-speech tagset. And then we construct a dataset by taking all the adjectives from the corpus, removing the adjective with no orientation. The set contained 923 adjective words. This systems will include several steps such as text pre-processing and clustering. The text pre-processing aims to increase the accuracy. And finally clustering method will classify each word to related sentiment which is positive or negative. With improvements to the text preprocessing, can be achieved 72% of accuracy.

Identifying Opinion Holders and Opinion Objects Utilizing Linguistic Cues

본 연구는 언어학적 단서를 활용하여 오피니언 마이닝으로도 일컬어지는 감성분석의 필수요소인 오피니언 서술자 및 오피니언 대상을 찾는 것에 그 목적이 있다. 기존의 감성분석 연구는 주로 긍정 혹은 부정의 감성값을 파악하는 것에 초점을 맞춰왔다. 그러나 이렇게 극성값만을 파악하는 것으로는 누가 어떤 대상에 대해 감성을 표현했는지 파악할 수 없으며 그 분석결과는 신뢰도가 떨어지고 활용도가 제한적이라 할 수 있다. 본 연구는 영화리뷰 데이터에 포함된 오피니언으로 분류되는 문장들의 구문 및 의미 자질을 활용하여 총 15개의 감성패턴을 추출하였다. 더불어 오피니언 패턴을 통해 오피니언 서술자를 수식하는 감성표현과 오피니언 대상을 수식하는 감성표현도 분류했다. 오피니언 패턴과 감성표현의 분류는 명시적 혹은 함축적으로 표현된 오피니언 서술자와 오피니언 대상을 정확하게 식별하는데 활용된다. 이러한 오피니언 패턴을 평가 데이터에 적용하여 해 본 결과, 오피니언 서술자 및 대상이 파악된 정확도는 88.89%으로 나타났다. 본 연구는 선행연구에서 다루지 않았던 언어학적 단서를 활용하여 오피니언 서술자와 오피니언 대상을 식별했을 뿐만 아니라 감성표현의 종류를 정리하여 향후 자동화된 감성 분석의 정확도를 높일 수 있는 토대를 마련하였다는 점에서 의의가 있다.This study identifies opinion patterns of the sentences extracted from movie reviews. Linguistic cues are utilized to determine an opinion holder and an opinion object, essential sentiment components for evaluating semantic orientations in sentiment analysis. Syntactic and semantic features are utilized to define fifteen opinion patterns by which the holder and the object are identified regardless of whether they are explicitly stated or implicitly indicated. When the patterns are applied to test data, the holder and the object are successfully mapped, resulting in the accuracy rate of 88.89%. Sentiment expressions are also classified to provide a clue to determine the components. The opinion patterns and sentiment expression classification are expected to improve the accuracy of interpreting sentiment-bearing sentences.

Development of an embodied entrainment character system with automatically generated response motions based on the speech activity and the semantic orientations of words in utterance

Development of an embodied entrainment character system with automatically generated response motions based on the speech activity and the semantic orientations of words in utterance

ПРОБЛЕМА МЕТОДА В СУДЕБНО-ЛИНГВИСТИЧЕСКОЙ ЭКСПЕРТИЗЕ

this article is devoted to the disclosure of one of the main problems of forensic linguistic expertise-the problem of the method. To date, the expert linguist to conduct research plenty of diverse, unconventional controversial texts, the semantic orientation of which is to be determined. Knowledge of the basic principles and provisions of the functional linguistics, cognitive, linguopragmatic determine the choice of the desired direction of research and, accordingly, the various techniques, the development of a unified system which is a priority of experts

Особенности политических ценностно-смысловых образований современной молодежи (обобщение опыта исследований)

Особенности политических ценностно-смысловых образований современной молодежи (обобщение опыта исследований)

Tuning of Customer Relationship Management (CRM) via Customer Experience Management (CEM) using Sentiment Analysis on Aspects Level

This study proposes a framework that combines a supervised machine learning and a semantic orientation approach to tune Customer Relationship Management (CRM) via Customer Experience Management (CEM). The framework extracts data from social media first and then integrates CRM and CEM by tuning and optimising CRM to reflect the needs and expectations of users on social media. In other words, in order to reduce the gap between the users’ predicted opinions in CRM and their opinions on social media, the existing data from CEM will be applied to determine the similar behavioural patterns of customers towards similar outcomes within CRM. CRM data and extracted data from social media will be consolidated by the unsupervised data mining method (association). The framework will lead to a quantitative approach to uncover relationships between the extracted data from social media and the CRM data. The results show that changing some aspects of the e-learning criteria that were required by students in their social media posts can help to enhance the classification accuracy in the learning management system (LMS) data and to understand more students’ studying statuses. Furthermore, the results show matching between students’ opinions in CRM and CEM, especially in the negative and neutral classes.

Formal studies in Slovenian syntax: In honor of Janez Orešnik ed. by Franc Lanko Marušič, Rok Žaucer

Reviewed by: Formal studies in Slovenian syntax: In honor of Janez Orešnik ed. by Franc Lanko Marušič, Rok Žaucer Catherine Rudin Formal studies in Slovenian syntax: In honor of Janez Orešnik. Ed. by Franc Lanko Marušič and Rok Žaucer. Amsterdam: John Benjamins, 2016. Pp. vi, 335. ISBN 9789027257192. $158 (Hb). The publication of this book is a major event in Slavic linguistics. A glance at the table of contents engenders high expectations: the contributors are a who’s who of Slovenian generative linguistics, and the topics encompass the hot issues in Slavic syntax. And reading the articles does not disappoint. It is gratifying to see so much excellent work on one ‘minor’ Slavic language: a sign of the current vitality of generative Slavic linguistics as a whole. Inevitably, some chapters are more elegantly written than others, but overall the book is a pleasure to read. The editors are to be congratulated for making this fine collection of papers available. One quibble is that the volume’s Slovenian syntax title is not quite accurate: one or two of the chapters have little to do with Slovenian, and some focus as much or more on semantics as on syntax. All of the papers are strongly grounded in formal theory (of one sort or another), but they vary considerably in their emphasis on Slovenian as opposed to theoretical or crosslinguistic viewpoints. Nonetheless, the book is unusually cohesive for a festschrift. A useful introduction by the editors explores contributions of Slovenian studies to formal syntax. Janez Orešnik, the volume’s honoree, was among the first to encourage the study of generative grammar in Slovenia and to apply it to the Slovenian language. Thanks in part to his influence, Slovenian has had an impact on the development of syntactic theory in several areas. These include the ‘orphan accusative’ construction, which gives evidence that definite pronouns are all animate, even when null; arguments for monoclausal vs. biclausal analyses of feel like constructions; double applicatives, which show datives can merge either high or low (or both); studies of verbal prefixation/resultative secondary predication; the adjectival definite article -ta and evidence for the structure of AP; arguments both for and against Bošković’s NP/DP hypothesis; and closest conjunct agreement. Work in the volume bears on some of these issues, among many others. The contributions are ordered alphabetically by author’s name rather than grouped thematically. This obscures some common threads. Grouping by topic might have highlighted and encouraged comparison among various approaches to clitics (papers by Bošković, Dobnik & Cooper, Franks, Stegovec, and parts of Marušič & Žaucer), for instance. Another group of papers share a strong semantic orientation (Dobnik & Cooper, Mitrović, Rivero & Milojević Sheppard). Browne, Marušič & Žaucer, and Živanović present novel data from Slovenian and share a diachronic focus. Hladnik, Mitrović, and Mišmaš share a concern for clause structure and the left periphery of CP. However, the papers do not all fit easily into such categories. I have chosen in the remainder of this review to follow the editors’ lead, briefly summarizing each paper in the order in which it appears in the volume. Željko Bošković (‘On second position clitics crosslinguistically’) continues his project of relating various phenomena to the (non)existence of a DP projection in a given language, here claiming that second-position clitic systems are available only in ‘NP’ languages. Arguments come from Australian languages, Comanche, and several Slavic languages, among others (but oddly for this volume, there are only a few sentences about Slovenian). A proposed explanation of the 2P/NP correlation is based on the nonbranching structure of clitics, the status of pronouns as D in DP languages but NP in NP languages, and a condition *Stranded D, or more generally *Stranded Functional Head. The account is complex, sometimes less than clear (Bošković considers alternative versions of parts of the account), and dependent on numerous theory-internal assumptions. Nonetheless, it is a significant contribution: if correct it has implications for other phenomena crosslinguistically, including P-stranding and which functional categories license ellipsis. [End Page 220] Wayles Browne, in ‘Participles come back to Slovenian’, discusses...

Spatiotemporal analysis of semantic orientations value using the texts on "Twitter" posted during some period before / after Kumamoto earthquake

Spatiotemporal analysis of semantic orientations value using the texts on "Twitter" posted during some period before / after Kumamoto earthquake

Формообразующий процесс как базовая основа логики музыкального мышления.

Цель работы рассмотреть процесс формообразования в широком ценностно-смысловом значении как своеобразную основу системы музыкального языка и его элементов. Методология основана на использовании историко-логического метода анализа. У его истоков находится диалектика пространственно-временных координат. Она определяет закономерности существования музыкальной материи и отражает конструктивную и художественно-содержательную логику эволюции композиторского творчества. Научная новизна основана на расширении представлений об исторической роли формообразующего процесса как одного из основных аспектов развития логики музыкального мышления. Особое внимание уделено выразительному аспекту формирования пространственных координат в строении художественной композиции произведений Ю. Гомельской, что раскрывает своеобразие их конструктивной и смысловой направленности. Выводы. Пространственно-временные отношения отражают диалектику жанрово-стилевого диалога в музыке как особом виде художественного творчества.Ключевые слова: Процесс формообразования, пространство, время, композиция, музыкальное мышление, полистилистика, музыкальный язык.