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.
Motivation
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.
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.
Brand Reputation Management:
Monitor and manage online reputation. Sentiment analysis enables them to identify potential PR crises early.
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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