Clean your data using pre-processing techniques.Performing sentiment analysis on Twitter data involves five steps: How to Perform Sentiment Analysis on your Twitter Data Sentiment analysis uses Natural Language Processing (NLP) to make sense of human language, and machine learning to automatically deliver accurate results.Ĭonnect sentiment analysis tools directly to your social platforms, so you can monitor your tweets as and when they come in, 24/7, and get up-to-the-minute insights from your social mentions. The most common type of sentiment analysis is ‘polarity detection’ and involves classifying statements as Positive, Negative or Neutral.Ĭheck out the sentiment analysis model, below, which automatically tags this tweet as Positive: This might be an opinion, a judgment, or a feeling about a particular topic or product feature. Sentiment analysis is the automated process of identifying and classifying subjective information in text data.
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