Jan 24, 2017 · Then, we use sentiment.polarity method of TextBlob class to get the polarity of tweet between -1 to 1. Then, we classify polarity as: if analysis.sentiment.polarity > 0: return 'positive' elif analysis.sentiment.polarity == 0: return 'neutral' else: return 'negative' Finally, parsed tweets are returned.
Sentiment analysis twitter data
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Mar 22, 2018 · Given all the use cases of sentiment analysis, there are a few challenges in analyzing tweets for sentiment analysis. The first one is data quality. The Twitter application helps us in overcoming this problem to an extent.Author: Chaitanya Sagar.
Data selection. First of all, we needed to choose Twitter text sources for sentiment analysis and stocks for prediction. There are two main.