A Survey of Sentiment Analysis from Social Media Data
A Survey of Sentiment Analysis from Social Media Data
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DOI：
10.1109/tcss.2019.2956957
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发表时间：
2020-04-01
影响因子：
5
通讯作者：
Bag, Rajib
中科院分区：
文献类型：
--
作者：
Chakraborty, Koyel;Bhattacharyya, Siddhartha;Bag, Rajib
在当前的自动化时代，机器不断被引导，以提供人们在社交媒体上表达的内容的准确解释。如今，人类已经沉浸在人们思考什么和如何思考的想法中，此后做出的决定大多基于大众在社交平台上的漂移。这篇文章提供了一个多方面的见解，通过互联网上大量数据的突然爆炸，情绪分析的演变成为人们关注的焦点。本文还讨论了多年来从社交媒体捕获数据的过程，沿着，基于用户在社交网络中的相似选择进行相似性检测。本文还对用户数据共享技术进行了综述。数据，在其不同的形式，也进行了分析，并提出了作为调查的一部分，在本文中。除此之外，本文还对情绪评估方法进行了研究、分类和比较，并指出了其局限性，希望能为今后更好的研究提供空间。
In the current era of automation, machines are constantly being channelized to provide accurate interpretations of what people express on social media. The human race nowadays is submerged in the idea of what and how people think and the decisions taken thereafter are mostly based on the drift of the masses on social platforms. This article provides a multifaceted insight into the evolution of sentiment analysis into the limelight through the sudden explosion of plethora of data on the internet. This article also addresses the process of capturing data from social media over the years along with the similarity detection based on similar choices of the users in social networks. The techniques of communalizing user data have also been surveyed in this article. Data, in its different forms, have also been analyzed and presented as a part of survey in this article. Other than this, the methods of evaluating sentiments have been studied, categorized, and compared, and the limitations exposed in the hope that this shall provide scope for better research in the future.