/Sentiment-Analysis-using-Deep-Learning

Sentiment analysis with Natural Language Processing

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Sentiment-Analysis-using-Deep-Learning

Sentiment analysis is the process by which all of the content can be quantified to represent the ideas, beliefs, and opinions of entire sectors of the audience. The implications of sentiment analysis are hard to underestimate to increase the productivity of the business. Sentiment Analysis is one of those common NLP tasks that every Data Scientist need to perform.

Steps involved:

  1. Data processing
  2. Tokenization
  3. Machine Learning Model for Sentiment Analysis
  4. Evaluating the Model on Test Set