Sentiment Analysis

Semantic Analysis tutorial

What is Sentiment Analysis?

Sentiment Analysis, also known as opinion mining, is an NLP technique that aims to determine the sentiment or emotional tone of a piece of text - that is, whether it is positive, negative, or neutral.


  1. Business Insights:

    Understanding customer opinions about products and services. By analysing customer feedback and reviews, companies can gain valuable insights into what customers like or dislike.

  2. Market Research:

    Gauge public sentiment towards specific products, brands, or events. Vital for companies to develop effective marketing strategies, launch new products, or adjust their offerings.

  3. Brand Reputation Management:

    Monitor and manage online reputation. Sentiment analysis enables them to identify potential PR crises early.

  4. Customer Service:

    Analyse customer support interactions to assess customer satisfaction levels and identify areas for improvement in customer service.

Expected Input

Typically a piece of text - a single sentence, paragraph, entire document, or social media post, in any natural language.

Expected Output

The output is a classification or a numerical score that represents the sentiment polarity of the input text.

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