Hybrid Data Mining Approach For Emotion Analysis
On Social Network Data
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Vadivel Ganesan, Thangamuthu Palanisamy, Suresh Kumar Tamilselvan
Ganesan, VadivelVadivel Ganesan is Assistant Professor and has six years of teaching experience in SNMV College of Arts & Science. He guided & produced two M.Phil Scholars. He attended various faculty development programs. He participated and presented different papers in National level seminars, conferences and workshops.
Bibliographische Angaben
- Autoren: Vadivel Ganesan , Thangamuthu Palanisamy , Suresh Kumar Tamilselvan
- 2019, 60 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6200080410
- ISBN-13: 9786200080417
Sprache:
Englisch
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