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http://lrcdrs.bennett.edu.in:80/handle/123456789/4837| Title: | Sentiment Analysis on Twitter |
| Authors: | Abraham, Ajith Sharma, Devendra Choudhary, Ghanshyam Ahuja, Chitvan |
| Issue Date: | 2023 |
| Publisher: | Cyber Tech Publications |
| Abstract: | Social media platforms, including Twitter, have evolved into a valuable trepository of user-generated content, encompassing sentiments, opinions, and emotions. Natural language processing (NLP) task sentiment analysis, also known as opinion mining, identifies, extracts, and examines sentiment-specific details from text data. Twitter sentiment analysis entails the examination of the sentiment conveyed within the 280-character limit of messages. |
| URI: | http://lrcdrs.bennett.edu.in:80/handle/123456789/4837 |
| ISSN: | 978-93-5053-903-3 |
| Appears in Collections: | Book Chapters_ SCSET |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| Ch_58_978-93-5053-903-3.pdf Restricted Access | 4.27 MB | Adobe PDF | View/Open Request a copy |
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