The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Detection of Economy-Related Turkish Tweets Based on Machine Learning Approaches
|
Author(s): Jale Bektaş (Mersin University, Turkey)
Copyright: 2022
Pages: 25
Source title:
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
Source Author(s)/Editor(s): Brij B. Gupta (National Institute of Technology, Kurukshetra, India), Dragan Peraković (University of Zagreb, Croatia), Ahmed A. Abd El-Latif (Menoufia University, Egypt) and Deepak Gupta (LoginRadius Inc., Canada)
DOI: 10.4018/978-1-7998-8413-2.ch008
PurchaseView on the publisher's website for pricing and purchasing information.
|
Abstract
Conducting NLP for Turkish is a lot harder than other Latin-based languages such as English. In this study, by using text mining techniques, a pre-processing frame is conducted in which TF-IDF values are calculated in accordance with a linguistic approach on 7,731 tweets shared by 13 famous economists in Turkey, retrieved from Twitter. Then, the classification results are compared with four common machine learning methods (SVM, Naive Bayes, LR, and integration LR with SVM). The features represented by the TF-IDF are experimented in different N-grams. The findings show the success of a text classification problem is relative with the feature representation methods, and the performance superiority of SVM is better compared to other ML methods with unigram feature representation. The best results are obtained via the integration method of SVM with LR with the Acc of 82.9%. These results show that these methodologies are satisfying for the Turkish language.
Related Content
M. Govindarajan.
© 2022.
23 pages.
|
Rajab Ssemwogerere, Wamwoyo Faruk, Nambobi Mutwalibi.
© 2022.
33 pages.
|
Surabhi Verma, Ankit Kumar Jain.
© 2022.
34 pages.
|
Kriti Aggarwal, Sunil K. Singh, Muskaan Chopra, Sudhakar Kumar.
© 2022.
25 pages.
|
Praneeth Gunti, Brij B. Gupta, Elhadj Benkhelifa.
© 2022.
26 pages.
|
Yin-Chun Fung, Lap-Kei Lee, Kwok Tai Chui, Gary Hoi-Kit Cheung, Chak-Him Tang, Sze-Man Wong.
© 2022.
13 pages.
|
Lap-Kei Lee, Kwok Tai Chui, Jingjing Wang, Yin-Chun Fung, Zhanhui Tan.
© 2022.
16 pages.
|
|
|