A Survey of Sentiment Analysis from Social Media Data
| Autor: | Koyel Chakraborty, Rajib Bag, Siddhartha Bhattacharyya |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Limelight
Scope (project management) Computer science business.industry Process (engineering) Sentiment analysis 02 engineering and technology Data science Automation law.invention Human-Computer Interaction law 020204 information systems Modeling and Simulation Similarity (psychology) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing The Internet Social media business Social Sciences (miscellaneous) |
| Zdroj: | IEEE Transactions on Computational Social Systems. 7:450-464 |
| ISSN: | 2373-7476 |
| DOI: | 10.1109/tcss.2019.2956957 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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