Sentimental Analysis, Technology and Application

Shagun Garg, Prakharima Singh, Neha Singh
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Abstract

Sentiment analysis, is often called opinion mining. It is the process of studying people's feelings or opinions based on text data. Sentiment analysis plays an important role in the research area of text mining. It identifies the sentiment or opinion of each person with respect to specific events. For this process, we need to pass a document or text which can be analysed and generates a system or model which represents a summarized form of opinion of a given document. Sentiment analysis is useful for review of movies, products, customer services, opinion about any event etc. This helps us to make decisions regarding a specific item or service, whether it is bad or good or preferred or not preferred. It can be useful in order to identify the opinion of an individual or about any event or person and also finds polarity of text whether positive, negative or neutral. In this, we have discussed the various methods and techniques of sentimental analysis and the areas which are using this technique based on some specific data.
情感分析、技术与应用
情感分析,通常被称为意见挖掘。它是基于文本数据研究人们的感受或观点的过程。情感分析在文本挖掘研究中占有重要地位。它确定了每个人对特定事件的情绪或意见。对于这个过程,我们需要传递一个可以分析的文档或文本,并生成一个系统或模型,该系统或模型代表给定文档的意见的总结形式。情感分析在评价电影、产品、客户服务、对任何事件的看法等方面都很有用。这有助于我们对特定的物品或服务做出决定,无论它是好是坏,是首选还是不首选。它可以用于识别个人或对任何事件或人的意见,也可以发现文本的极性,无论是积极的,消极的还是中性的。在此,我们根据一些具体的数据,讨论了情感分析的各种方法和技术,以及使用这种技术的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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