CLOPINIONMINER: OPINION TARGET EXTRACTION IN A CROSSLANGUAGE SCENARIO
Journal Title: Indian Journal of Computer Science and Engineering - Year 2016, Vol 7, Issue 2
Abstract
In almost every e-Commerce industry today reviews are essential for both customers as well as the company. Reviews help the customers to sort out the right products and choose the ones that they find best. On the other hand it assists the companies to assess their products and receive feedback from their customers. This feedback can be used to update their products and services or even in designing their future products. But often these reviews are dispersed across several websites and are available in various languages. Therefore searching these reviews and extracting practical and useful information from them is a daunting task. The techniques propounded here can be applied to comments on videos, blogs, news and several other areas and consequently expressive facts can be acquired from it. Information in statistical form is more preferred than as it can be inferred quite efficiently and effortlessly by computers as well as humans. As a result, the process of translation of opinions from a disarrayed forms into a compact and more easily interpretable form. Machine learning methods are incorporated into data mining techniques to achieve this ultimate goal.
Authors and Affiliations
Mr. Yogesh Hiraman Palve , Prof. B. K. Patil
Keywords
Related Articles
- EP ID EP159568
- DOI -
- Views 99
- Downloads 0
EFFICIENT ESTIMATION ALGORITHM FOR ARMA MODEL FOR COLOURED NOISE
In this paper, a modified estimation algorithm has been developed refers to Covariance Shaping Least Square (CSLS) estimation based on the quantum mechanical concepts and constraints. The algorithm has been applied to Au...
Optimization of Computer Networks
Computer Networks have pervaded our life like anything. They are present in all aspects of our life. Information transmission like Internet usage uses computer networks. As more and more people use computer networks, tra...
SPEECH RECOGNITION USING GENERIC SHORTEST DISTANCE ALGORITHM
The first major contribution of this paper may well be a dialog model support propositional content and intentions. Two distinct components of the model square measure mentioned in depth: (a) associate approach to the mo...
A Steganography method for JPEG2000 Baseline System
Hiding capacity is very important for efficient covert communications. For JPEG2000 compressed images, it is necessary to enlarge the hiding capacity because the available redundancy is very limited. In addition, the bit...
FRAMEWORK FOR CLUSTERING ON SOCIAL NETWORKING MESSAGE
Normally, the messages collected from the social networking applications are highly unstructured and cluttered that pose a significant level of difficulty for applying conventional mining technique. Is such data are not...