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Results: 7
Improvisation of Cleaning Process on Tweets for Opinion Mining
In the current scenario, high accessibility to computational facilities encourage generation of a large volume of electronic data. Expansion of the data has persuaded researchers towards critical analyzation so as to extract the...
Published by: IGI Global
Assessing Public Opinions of Products Through Sentiment Analysis
In the world of social networking, consumers tend to refer to expert comments or product reviews before making buying decisions. There is much useful information available on many social networking sites for consumers to make...
Published by: IGI Global
A Literature Review on Cross Domain Sentiment Analysis Using Machine learning
Sentiment analysis is the field of NLP which analyzes the sentiments of text written by users on online sites in the form of reviews. These reviews may be either in the form of a word, sentence, document, or ratings. These...
Published by: IGI Global
Time Series for Forecasting Stock Market Prices Based on Sentiment Analysis of Social Media
This paper attempts to find a relation between the public perception of a company and its stock value price. Since social media is a very powerful tool used by a lot of people to voice their opinions on the performance of a...
Published by: IGI Global
Recommendation and Sentiment Analysis Based on Consumer Review and Rating
Accurate analysis and recommendation on products based on online reviews and rating data play an important role in precisely targeting suitable consumer segmentations and therefore can promote merchandise sales. This study uses...
Published by: IGI Global
A Comparative Study of Different Classification Techniques for Sentiment Analysis
Sentiment analysis denotes the analysis of emotions and opinions from text. The authors also refer to sentiment analysis as opinion mining. It finds and justifies the sentiment of the person with respect to a given source of...
Published by: IGI Global
Airbnb or Hotel?
Advances in information technology have hugely influenced the tourism industry. Many tourists can generate and share their travel tips through social media, and people consult online reviews before making travel arrangements...
Published by: IGI Global