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![Sentiment Analysis
Identify the orientation of opinion in a piece of text
Can be generalized to a wider set of emotions
The movie
was fabulous!
The movie
stars Mr. X
The movie
was horrible!
[ Factual ][ Sentimental ] [ Sentimental ]
References: google images](https://image.slidesharecdn.com/c4cb23c8-9849-45a4-b931-6204ddf17ad0-160927192233/75/Sentiment-Analyzer-3-2048.jpg)
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Sentiment Analyzer
- 1. SENTIMENT ANALYSER Presented By: AkashPrajapati 1309113008 Ankit Raj 1309113012
- 2. Objective The projectmainly deals analysis of product reviews from various ecommerce websites. Our Main objective is to get the overall polarity of reviews for a particular product.
- 3. Sentiment Analysis Identifythe orientation of opinion in a piece of text Can be generalized to a wider set of emotions The movie was fabulous! The movie stars Mr. X The movie was horrible! [ Factual ][ Sentimental ] [ Sentimental ] References: google images
- 4. Sentiment Analysis Movie:is this review positive or negative? Products: what do people think about the new iPhone? Public sentiment: how is consumer confidence? Is despair increasing? Politics: what do people think about this candidate or issue? Prediction: predict election outcomes or market trends from sentiment 4
- 5. Sentiment analysis hasmany other names Opinion extraction Opinion mining Sentiment mining Subjectivity analysis 5
- 6. Google Product Search Reference:google Images
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- 13. Software Specification FRONTEND : HTML,CSS,JavaScript BACK END : Python , Django PLATFORM : Windows,Ubuntu
- 14. Code Description: processReviewfunction: Input:: Output::
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- 16. . featureList(removes repetition) Input:: Output::
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- 18. . NBClassifier: Itis a pointer to the nltk.NaiveBayesClassifier.train(training_set) object::
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- 24. CONCLUSION AND FUTUREWORKS Sentiment analysis or opinion mining is a field of study that analyzes people’s sentiments, attitudes, or emotions towards certain entities. This project deal with a fundamental problem of sentiment analysis, sentiment polarity categorization. Online product reviews from Amazon.com are selected as data used for this project. We plan to use more exhaustive techniques in future to build a full-fledged model that is able to analyse a large set of data in a little time and with good accuracy.
- 25. References https://www.djangoproject.com/ https://www.python.org/ https://plot.ly https://docs.python.org/3/tutorial/ https://www.nltk.org/
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