Graduate papers
  
Description of the graduate paper
Form of studies Bachelor
Title of the study programm Computer Systems
Title in original language Noskaņojuma analīze Steam platformas datorspēļu atsauksmēs
Title in English Sentiment Analysis of Steam Game Reviews
Department International Cooperation and Foreign Students Department
Scientific advisor Gints Jēkabsons
Reviewer Lektors Māra Pudāne
Abstract The bachelor thesis presents a study of Sentiment Analysis for video game reviews of the Steam platform. The goal of the thesis is to compare effectiveness of different classification algorithms in Sentiment analysis of Steam game reviews, develop software for sentiment prediction, and implement text highlighting for explanation of predicted class. The thesis examines concepts that affect this topic such as Natural language Processing, Pre-processing techniques, algorithms in Machine learning, TF-IDF. Taking into account these elements, a software is developed for the purpose of classifying text and predicting the sentiment label of reviews. The software is then used to perform experiments with different parameters (pre-processing steps, dataset size), classification algorithms and gather results selecting the best classification algorithm, and visualize how words of a review are influencing the predicted sentiment label. The bachelor thesis contains 55 pages, 17 images, 22 tables, 1 Appendix and 74 reference sources.
Keywords NOSKAŅOJUMA ANALĪZE, MAŠĪNMĀCĪŠANĀS ALGORITMI, DABISKĀS VALODAS APSTRĀDE, KLASIFICĒSANA
Keywords in English SENTIMENT ANALYSIS, MACHINE LEARNING ALGORITHMS, NATURAL LANGUAGE PROCESSING, CLASSIFICATION MODEL
Language eng
Year 2020
Date and time of uploading 05.06.2020 08:53:57