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Sentiment Analysis
The automated identification of subjective information or emotional states from text.
Why It Was Important
As Web 2.0 generated millions of product reviews and early social media posts, AI models were deployed to automatically classify text as positive, negative, or neutral. This became one of the first massively profitable enterprise NLP products, helping corporations instantly track consumer reactions to brand launches.
Who Invented It
Various NLP researchers
Applied computational linguists.
Applications
- Brand Monitoring
- Customer Support Routing
- Financial Market Prediction
Key Papers
- Thumbs up? Sentiment Classification using Machine Learning Techniques
Bo Pang, Lillian Lee, Shivakumar Vaithyanathan · EMNLP 2002
Videos
What is Sentiment Analysis?
IBM Technology
What is Sentiment Analysis? The Future of Customer Insights #sentimentanalysis #nlp #machinelearning
IBM Technology