Abstract
The Study of Sentiment is an area of science that specializes in the analysis of strong emotions expressed in texts. An opinion is a complete perception of a commodity, service, association, individual or some other form of entity about which a given text is conveyed. This work provides valuable knowledge of the roots of sentiment analysis and how sentiment evaluators can be configured. We demonstrated how to construct a basic classifier and use it as an example. These approaches will eventually change and there will still be the need for a more extensive assessment of emotions. Non-textual material has an important significance in analyses. Photos, photographs, animations and other visual material are also useful in performing social research. Of course, I can see that all these hyperlinks provide essential material. Some other ways of using social media are likes, retweets, reviews on posts and much more! It is hoped that common issues such as avoiding irony and sarcasm would be made less ambiguous. However, there will emerge other issues that will have to be tackled.
Highlights
In any decision-making process, people use the opinions of other individuals to make choices
It is because of this large number of publications and a field of research that is undergoing a process of strong expansion that it is not easy to establish a clear division of the methods that currently exist. Several authors such as [17] or[18] establish two main groups, supervised and unsupervised methods and the latter in turn based on dictionaries or linguistic relations. 3.Proposed Work This section will present a method for solving the problem of classifying texts by their sentiment at document level. These sentiment will be messages that have been published on the social network Twitter and the chosen method will be based on supervised learning algorithms
It should be noted that the models will be written in Python22 and specific libraries will be used for this type of development, such as NLTK23, which specialises in language processing and Scikit-Learn24, which offers resources for the implementation of automatic learning systems
Summary
In any decision-making process, people use the opinions of other individuals to make choices. It is easy to deduce that communication between elements of the same nature, such as between people, machines or animals of the same species, is simpler, more direct and effective than when it occurs between entities of different origin For this reason and due to the existing relationship between people and computers, it is necessary to search and study protocols that facilitate communication and interaction between both objects in order to improve their relationships. Special consideration will be given to the knowledge acquired in the subject of Advanced Artificial Intelligence and the practices carried out with the Python language and machine learning libraries such as Scikit-Learn14 1.5 Motivation The field of Artificial Intelligence deals with computer programmes that can identify subtle correlations in data, and generate predictions and assumptions based on those connections This data will offer countless insight into future problems faced by people and social classes on the planet. The massive deployment of automatic learning technologies would make it easier to meet goals that would seem like science fiction in the future
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