• V.Nareen Kanth
• Dr. R. Jegadeesan
• Amaal Fathima
• R.Manasa
• Sara Osmani

The mining of opinion based on aspects creates in-depth views on a subject such as a product or an event. With the rapid growth of texts on the Internet, views on the mining side have become a promising way to analyze public opinion on the Internet. In particular, the flourishing of various types of on-line media provides diverse and integrated information, providing unprecedented opportunities for mining through the media. Along this line, we suggest CAMEL, an innovative model for cross-browser exploration side by side across asymmetric groups.CAMEL acquires information integration by modeling common and specific aspects across groups, while preserving all opposing views of the conflicting study. It is also proposed to use an automatic labeling system called AME to help distinguish words and words without identifying human identifiers, which is enhanced by adding similarities that are based on the inclusion of the word as a new feature. Furthermore, the CAMEL-DP, a non-parametric replacement of CAMEL, is also proposed based on the associated Dirichlet operations. The extensive experience of the real-world multivariate review data demonstrates the superiority of our competitive baselines. This is especially true when information shared between different groups becomes seriously fragmented. Finally, a case study of the Shanghai Stampede 2014 event shows the practical value of CAMEL for real-world applications.

ASPECT BASED OPINION MINING USING CAMEL MODEL

"ASPECT BASED OPINION MINING USING CAMEL MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.146-152, March-2019, Available :http://www.jetir.org/papers/JETIRAU06023.pdf

"ASPECT BASED OPINION MINING USING CAMEL MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp146-152, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06023.pdf