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Browsing Business, Commerce, Economics & Computer Sciences by Author "Asnani, K."

Browsing Business, Commerce, Economics & Computer Sciences by Author "Asnani, K."

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  • Automatic aspect extraction using lexical semantic knowledge in code-mixed context 
    Asnani, K.; Pawar, J.D. (Procedia Computer Science. 112; 2017; 693-702.)
    We study the problem of automatic extraction of aspects from code-mixed social media data in the form of topic clusters. To address the same, we present the background and propose a code-mixed probabilistic topic model. ...
  • Discovering thematic knowledge from code-mixed chat messages using topic model 
    Asnani, K.; Pawar, J.D. (Proc. 3. Workshop on Indian Language Data: Resources and Evaluation (WILDRE3), Portoroz, Slovenia. 24 May 2016. 2016; 104-109.)
    In current times, the trend of mixing two or more languages together (code-mixing) in communication on social media is very popular. Such code-mixed chat data is enormously generated and is usually noisy, sparse and exhibits ...
  • Extraction of code-mixed aspect topics in semantic representation 
    Asnani, K.; Pawar, J.D. (Computacion y Sistemas. 22(1); 2018; 55-63.)
    With recent advancements and popularity of social networking forums, millions of people virtually connected to the World Wide Web, commonly communicate in multiple languages. This has led to the generation of large volumes ...
  • Use of semantic knowledge base for enhancement of coherence of code-mixed topic-based aspect clusters 
    Asnani, K.; Pawar, J.D. (Proc. 13. Int. Conference on Natural Language Processing, Ed. by: D.S. Sharma, R. Sangal and A.K. Singh. IIT, BHU, Varanasi. 2016; 259-266.)
    In social media code-mixing is getting very popular due to which there is enormous generation of noisy and sparse multilingual text which exhibits high dispersion of useful topics which people discuss. Also, the semantics ...

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