对孟加拉语脸书评论进行情感分析,预测粉丝对名人的情绪

Md. Serajus Salekin Khan, Sanjida Reza Rafa, Al Ekram Hossain Abir, A. Das
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引用次数: 9

摘要

在当今时代,情感分析被认为是计算机科学研究中发展最快的领域之一。它是一种自动化的文本挖掘技术,可以确定文本的情感。使用情感分析可以将文本分为许多情感。由于对孟加拉语中的情感分析已有一些研究,因此它被视为孟加拉语分析领域的一个重点研究领域。这篇论文涉及五种不同的情绪,分别是快乐、悲伤、愤怒、惊讶和兴奋。除了这些情绪,我们的论文还讨论了两个类别,如虐待和宗教。我们提出了一种机器学习技术,即SVM算法从孟加拉语文本中提取这五种个体情绪。
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Sentiment Analysis on Bengali Facebook Comments To Predict Fan's Emotions Towards a Celebrity
In this present era, sentiment analysis is considered as one of the most rapidly growing fields of computer science study. It is a text mining technique which is automated and determines the emotion of a text. A text can be divided into many emotions using sentiment analysis. Since there are some studies on emotion analysis in the Bangla language, it is regarded as a key research area in the field of analyzing Bangla language. This paper works with five different emotions and those are Happy, Sad, Angry, Surprise and Excited. Apart from these emotions our paper also deals with two categories, such as Abusive and Religious. We proposed a method of machine learning technique which is the SVM algorithm to extract these five individual emotions from Bangla text.
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