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Sentiment Analyzer
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Nitesh Oswal
May 12, 2016
Education
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33
Sentiment Analyzer
A practical approach to calculate sentimental orientation of data
Nitesh Oswal
May 12, 2016
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Transcript
A practical approach to calculate sentimental orientation of data Project
Undertaken By - Nitesh Oswal - 120240101031 Rohit Kumar - 120240101047 Priyaranjan Singh - 120240101038 Project Submitted To - Mr. Pramod Mehra, Asst. Professor, Department of CSE
Introduction What is sentimental orientation?
Sentiment Analysis How do we calculate sentimental orientation? 1. Natural
Language Processing 2. Text Analysis 3. Computation Linguistics Patterns & Information
Polarity Classification How do we do it? For classifying the
polarity of a given text input Based on grading system
Proposed Applications Feedback Analyzer Popular Status Analyzer
Core APIs 1. Collection 2. Preprocessing 3. Synthesization 1. History
Logging 2. Ngram Analysis Additional APIs Process (Do it all at once)
Collection
Preprocessing
Slang Words Special words morphed from their original to others
Stop Words Unnecessary literature..
Affinity Scores Weighted literature..
Synthesizing
The Final Math? D is the group of documents score(d)
returns the score of single document d count(d) return the number of documents in d
Process API “fork()” it! Parent (App) Child (Worker) Child (Worker)
Child (Worker) Request / Input
Application Demos!
Feedback Analyzer Demo!
Popular Status Analyser Demo!
Challenges 1. Twitter API Rate Limits 2. Storage Engine Read/Write
Speeds 3. Amount of Affinity Words + Scores
Links Code: https://github.com/NiteshOswal/SentimentAnalyzerService
Thank you!