Browsing Goa Business School by Author "Asnani, K.S."

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Discovering language independent latent aspect clusters from code-mixed social media text

Asnani, K.S.; Pawar, J.D. (Proc. of the 30th Int. Florida Artificial Intelligence Research Society Conference (FLAIRS). 22-24 May 2017. 2017; 592-595.)

In recent times, code-mixing has become prevalent in social networking as people communicate in multiple languages. This is become a trend and is significantly popular especially in multilingual countries. This has led to ...
Improving coherence of topic based aspect clusters using domain knowledge

Asnani, K.S.; Pawar, J.D. (Computacion y Sistemas. 22(4); 2018; 1403-1414.)

Web is loaded with opinion data belonging to multiple domains. Probabilistic topic models such as Probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) have been popularly used to obtain ...
Message significance in multilingual blogs using topic-based aspect clusters

Asnani, K.S.; Pawar, J.D. (Proc. of the ACM Symposium on Women in Research 2016 (WIR '16). 2016; 154-157.)

Social networking forums like Twitter, Facebook and other blogs are easy to access and are highly popular. The growth in such rich social media content has led to the generation of petabytes of data on the web. The social ...
Unsupervised and Semi-supervised Algorithms for Discovery of Aspects from Code-mixed Social Media Data

Asnani, K.S.

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