sentimentanalysis's Introduction
******************************************************************************* * Sentiment Analysis ******************************************************************************* Author: Chirag Sangani [email protected] Sundaram Ananthanarayanan [email protected] ------------------------------------------------------------------------------- - README ------------------------------------------------------------------------------- The code is divided into two parts: data aggregation and sentiment analysis. 1. Data Aggregation: Netbeans project under "AndroidCommentScraper" for Java. To set up, insert your gmail ID / password in SessionSetup.java App ID scraper helps in determining app IDs. This app ID can then be used to scrape comments using CommentsScraper. 2. Sentiment Analysis Visual Studio solution under "SentimentAnalysis" for Python. Use PyTools plugin for Visual Studio. The solution contains the following projects in order of usage: a. ReviewCleaner Python 3.3 Process reviews for usage. b. LearnUnigramWeights Python 3.3 Run regression on features c. CollectSynsets Python 2.7. Needs NLTK. Collect words into synset topics d. SynsetReviewAggregator Python 2.7 Aggregate reviews under topics e. ComputeSynsetMetrics Python 2.7 Compute metrics for each topic. All data is present in the "/SentimentAnalysis/Data" folder. Except for the NLTK code that provided synsets for a single word, all code, including regression, clustering, and ranking was written by us.
sentimentanalysis's People
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. ๐๐๐
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.