| Abstract |
: |
The growth of science and technology contributes in the growth of social website and electronic media at vast scale. Due to development in field of information technology, all information about anything is globally available on internet, which is great source of data and information. Data or data sets available on internet in unstructured form. To analysis the unstructured data, we need method which convert it into structured data then analyze those data. NLP, Linguistic Computation and text mining are used to analyze/extract the opinion of people from given source data (comments, blogs, feedback and reviews). Sentiment analysis is emerged as the text analysis method, which extracts the opinion from comments, feedbacks and reviews. Sentiment Classification techniques are widely used for sentiment classification of reviews and feedbacks of customers and viewers on movie, product and services. The given feedbacks and reviews are classified into two class- positive and negative class. This paper focuses on study of negative sentences, identification of those negative sentences and calculation of sentiment score of negative sentences. |
