TwitAnalyze: A Deep Dive into Twitter Profile and Comment Sentiment Analysis

Twitter is a platform where millions of users voice their opinions and sentiments on various topics on a daily basis. In this digital landscape, businesses recognize the importance of validating their online reputation, using customer opinions to maximize profits. This project specifically focuses on gathering data, evaluating it, and extracting public and private opinions. The key aspect of the analysis is the implementation of vectorization through a pipeline which enables the sentiment classification of new tweets. It explores the significance of opinion mining in shaping online reputation and business strategies. Through rigorous machine learning model evaluation, the study seeks to provide insights into sentiment analysis methodologies and their real-world applications.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/punecon63413.2024.10895819
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
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article

TwitAnalyze: A Deep Dive into Twitter Profile and Comment Sentiment Analysis

Bhagwan Dinkar Thorat, Ashutosh Santosh Kshirsagar, Omkar Kawthekar, Kaustubh Muley et al.
Sentiment Analysis and Opinion Mining
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TwitAnalyze: A Deep Dive into Twitter Profile and Comment Sentiment Analysis

Bhagwan Dinkar Thorat, Ashutosh Santosh Kshirsagar, Omkar Kawthekar, Kaustubh Muley, Anushka Kausadikar, Devendra Kawade
article en

Abstract

Twitter is a platform where millions of users voice their opinions and sentiments on various topics on a daily basis. In this digital landscape, businesses recognize the importance of validating their online reputation, using customer opinions to maximize profits. This project specifically focuses on gathering data, evaluating it, and extracting public and private opinions. The key aspect of the analysis is the implementation of vectorization through a pipeline which enables the sentiment classification of new tweets. It explores the significance of opinion mining in shaping online reputation and business strategies. Through rigorous machine learning model evaluation, the study seeks to provide insights into sentiment analysis methodologies and their real-world applications.

Openalex Percentile: Top 75%
Sentiment Analysis and Opinion Mining
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