Class Specific TF-IDF Boosting for Short-text Classification

Author:

Ghosh Samujjwal1,Desarkar Maunendra Sankar1

Affiliation:

1. IIT Hyderabad, Hyderabad, India

Funder

Vivesvaraya PhD Scheme for Electronics and IT Ministry of Electronics & Information Technology(MeitY) Government of India

Publisher

ACM Press

Reference26 articles.

1. Moumita Basu, Anurag Roy, Kripabandhu Ghosh, Somprakash Bandyopadhyay, and Saptarshi Ghosh. 2017. Microblog Retrieval in a Disaster Situation: A New Test Collection for Evaluation. In Proceedings of the First International Workshop on Exploitation of Social Media for Emergency Relief and Preparedness colocated with European Conference on Information Retrieval, SMERP@ECIR 2017, Aberdeen, UK. 22--31. http://ceur-ws.org/Vol-1832/SMERP_2017_peer_review_ paper_3.pdf

2. Iyad Batal and Milos Hauskrecht. 2009. Boosting KNN text classification accuracy by using supervised term weighting schemes. In Proceedings of the 18th ACM conference on Information and knowledge management. ACM, 2041--2044.

3. Constantinos Boulis and Mari Ostendorf. 2005. Text classification by augmenting the bag-of-words representation with redundancy-compensated bigrams. In Proc. of the International Workshop in Feature Selection in Data Mining. Citeseer, 9--16.

4. Corinna Cortes and Vladimir Vapnik. 1995. Support-vector networks. Machine learning 20, 3 (1995), 273--297.

5. George Forman. 2008. BNS feature scaling: an improved representation over tf-idf for svm text classification. In Proceedings of the 17th ACM conference on Information and knowledge management. ACM, 263--270.

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