Hybrid Data Mining Approach For Emotion Analysis: On Social Network Data

Ganesan, Vadivel/ Palanisamy, Thangamuthu/ Tamilselvan, Suresh Kumar

ISBN 10: 6200080410 / ISBN 13: 9786200080417

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

60 pages. 8.66x5.91x0.14 inches. In Stock.

Seller Inventory # zk6200080410

Bibliographic Details

• Title: Hybrid Data Mining Approach For Emotion Analysis: On Social Network Data
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6200080410
• ISBN 13: 9786200080417
• Binding: Paperback
• Condition: Brand New
• Weight: 0.14 kilograms

About this title

Synopsis

Social media plays a significant role in exploring opinions and emotions of the users based on day to day activities. Mining social network data regarding user's opinions and emotions is necessary to understand the user's behaviour and mentality. This research work proposes a hybrid data mining approach using K-Means clustering and Naive Bayes classification techniques to analyse the emotions in the tweets. Emotion type based classification and Cluster based classification process performed on the tweet emotion data set using Naïve Bayes classifier analyses the performance of the hybrid data mining approach using performance measures.