SENTIMENT ANALYSIS ON TWITTER: "A Web-Based Application" - Couverture souple

Halder, Subhas; Mondal, Sahitya; Das, Satrajit

 
9786204981758: SENTIMENT ANALYSIS ON TWITTER: "A Web-Based Application"
Couverture souple
ISBN 10 : 6204981757 ISBN 13 : 9786204981758
Editeur : LAP LAMBERT Academic Publishing, 2022

Synopsis

Sentiment Analysis (SA), also called Opinion Mining, is currently one of the most studied research fields. It aims to analyze people’s sentiments, opinions, attitudes, emotions, etc., In this project, we basically carry out Sentiment Analysis on Twitter data. Sentiment analysis has been handled as a Natural Language Processing (NLP) task at many levels of granularity for text analysis and Machine Learning (ML) techniques to assign weighted sentiment scores to the entities, topics, themes, and categories within a sentence or phrase. We used the TextBlob library to do an analysis of all tweets as positive, negative and neutral. We have used the Support Vector Machine (SVM) algorithm to train the model and compare performance with some other popular classifier.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2022
Langue
anglais
ISBN 10 
6204981757
ISBN 13 
9786204981758
Reliure
Broché
Nombre de pages
52
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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