Aspect Extraction from Reviews(Ongoing)
With the rapid growth of user generated online
reviews, extracting topic and detecting polarity of opinions about a product is
an interesting problem. A topic is a combination of attributes (keywords),
which captures important characteristics of the data. The experience of the
expert users is beneficial for the future users to choose the best product. In
this project, I was emphasizing on topic extraction, polarity detection and clustering
document so that the designer and the customer can retrieve relevant
information easily and quickly from the product reviews.(Details )
Tools & Technologies: Java, MatLab,
Python, Topia term Extractor, Scikit
