JOURNAL ARTICLE

Analyzing sentiments of human through twitter comments

Neha MittalIrfanullah KhanPinky Sharma

Year: 2022 Journal:   International Journal of Health Sciences Pages: 3854-3859

Abstract

This disquisition is to find the people behaviour through their comments or post on twitter what actually like or dislike about a particular product or topic . In this we use Hybrid algorithm to build more well grounded and sturdy process. In this growing epoch of online community users. A huge numeral of people every day pin (up) their point of view in the form of tweets. This approach is useful to organization in many different ways who get introduced or marked in the tweet. By classifying those tweets into positive or negative according to the sentences by converting the unstructured tweet in structured format .tweets are going through cleaning phase first of all and after that the retrieve of tweets have been adept through libraries by using the API of Twitter.

Keywords:
Numeral system Computer science Point (geometry) Process (computing) Social media Product (mathematics) World Wide Web Information retrieval Data science Artificial intelligence Mathematics

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
11
Refs
0.07
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Sentiment Analysis and Opinion Mining
Physical Sciences →  Computer Science →  Artificial Intelligence

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