Analysis of User's Behavioral Pattern for Various Brands Using Machine Learning

Farah Jamal,, Ms. Kavita Agrawal
2019 International Journal of Research in Advent Technology  
Sentiment Analysis in recent times has become the focus of many researchers due to availability of large amount of online data. The analysis of online data is very beneficial as well as it is in demand in different applications. Product based sentiment analysis is one of them. It helps the organization in getting up-to-date review of their products and helps in understanding user behavior towards their product. This paper introduces a novel approach to perform sentiment analysis of social media
more » ... reviews of different products. The paper contribute to the field of sentiment analysis, which extracts opinions from the tweets. The main aim is to classify the text as positive, negative or neutral. Various sentiment classifier are used to analyze the data. But with increasing complexity of data, it's time to inquest at the same old sentiment extraction process and to re-figure them. We have proposed a hybrid approach. Here, Naïve Bayes classifier is used for classification, Long-Short term memory for predicting the outcome and decision tree for precision.
doi:10.32622/ijrat.752019316 fatcat:tp64ygt4sjfefndpkj5w3ktuvy