Computational Intelligence Applications for Text and Sentiment Data Analysis Das Dipankar
Sentiment Analysis (SA) has emerged as one of the fastest growing research trends in the last few years as exponential numbers of global internet users are expressing their opinions through various…
Specifikacia Computational Intelligence Applications for Text and Sentiment Data Analysis Das Dipankar
Sentiment Analysis (SA) has emerged as one of the fastest growing research trends in the last few years as exponential numbers of global internet users are expressing their opinions through various social media platforms across a wide range of issues. Emotion and polarity prediction, from customer feedback through various social media such as Facebook, Twitter, etc., is an important emerging subfield of predictive modelling. Most recently, many big companies have been using various computational intelligence algorithms to understand customers' attitudes towards their products and in order to successfully run their businesses. In this way, Sentiment Analysis has emerged as a critical tool in decision making because social media platforms are used as the most preferred medium to record such issues.Computational Intelligence Applications for Text and Sentiment Data
Harmonic Analysis and Applications
SQL for Data Analysis