Introduction to Sentiment Analysis

1. Sentiment Analysis
- Sowmiya Ranganathan

2. Agenda
 What is Sentiment Analysis
 Need for Sentiment Analysis
 Methodology and Implementation
 Scenarios
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3. What is Sentiment Analysis
 A thought , view or attitude, especially based mainly on
emotions.
 Aka Opinion Mining
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4. Need For Sentiment Analysis
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5. Methodology and Implementation
 Using a Machine Learning based text classifier
The machine learning based text classifiers are a kind of supervised
machine learning paradigm, where the classifier needs to be trained on
some labeled training data before it can be applied to actual classification
task
 Using Natural Learning Processing
It Utilizes a library ‘SentiWordNet’, which provides a sentiment polarity
values for every term occurring in the document.
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6. Methodology and Implementation
Machine Learning Natural Language Processing
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7. Scenarios
 Review-Related Websites : Movie Reviews, Product Reviews etc.
 As a Sub-Component Technology : Detecting antagonistic, heated language in mails, spam
detection, context sensitive information detection etc.
 Businesses and Organizations :
Brand analysis
New product perception
Product and Service benchmarking
Market Intelligence
Business spends a huge amount of money to find consumer sentiments and opinions –
Consultants, surveys and focused groups, etc
 Individuals : Interested in other’s opinions when
Purchasing a product or using a service
Finding opinions on political topics
 Ads Placements : Placing ads in the user-generated content
Place an ad when one praises a product.
 Place an ad from a competitor if one criticizes a product.

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