A Framework for Sentiment Analysis Based Recommender System for Agriculture Using Deep Learning Approach

Sentiment analysis which is also known as opinion mining, can detect the contextual polarity of textual data. It classifies whether a given text is positive, negative or neutral. Performing Sentiment analysis with extracted micro-blogging text from social networking sites and analyzing the text after application of sentiment analysis are considered challenging tasks. This paper proposes a model based on deep learning approach to perform sentiment analysis on extracted agriculture tweets from twitter. Moreover, it focuses on the accuracy and performance of the training data set so that it is used to predict the sentiment rate of the tested (twitter) data.