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Analyzing Sentiment of Movie Reviews in Bangla by Applying Machine Learning Techniques

机译:应用机器学习技术分析孟加拉电影评论的情感

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This paper proposes a process of sentiment analysis of movie reviews written in Bangla language. This process can automate the analysis of audience's reaction towards a specific movie or TV show. With more and more people expressing their opinions openly in the social networking sites, analyzing the sentiment of comments made about a specific movie can indicate how well the movie is being accepted by the general public. The dataset used in this experiment was collected and labeled manually from publicly available comments and posts from social media websites. Using Support Vector Machine algorithm, this model achieves 88.90% accuracy on the test set and by using Long Short Term Memory network [1] the model manages to achieve 82.42% accuracy. Furthermore, a comparison with some other machine learning approaches is presented in this paper.
机译:本文提出了在孟加拉语言中写的电影评论的情感分析过程。这个过程可以自动分析观众对特定电影或电视节目的反应。随着越来越多的人在社交网站中公开在社交网站中表达他们的意见,分析了关于特定电影的评论的情绪可以表明电影被公众接受的程度。本实验中使用的数据集被收集并从社交媒体网站的公开评论和帖子手动标记。使用支持向量机算法,该型号在测试集中实现了88.90%的精度,通过使用长短短期内存网络[1]模型管理以达到82.42%的精度。此外,本文提出了与一些其他机器学习方法的比较。

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