Twitter-sentimental-analysis

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Twitter-sentimental-analysis

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Sentimental Analysis using LingPipe, Mogodb and MapReduce

Twitter-sentimental-analysis 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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Twitter-sentimental-analysis
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This Program uses Mongodb, LingPipe tool kit and MapReduce to classify whether the tweet is positive or negative.

I have collected public tweets when the Government Shutdown was about to begin in US because of Obamacare. I have stored over 15000 tweets on to mongodb. The program for storing public tweet that I have wrote can be found here
```
https://github.com/kailashjoshi/twitter-mongodb
```
The data that I have collected for mongodb can be downloaded from
```
https://dl.dropboxusercontent.com/u/91258003/Obama.zip
```

Pre-requisite for running this program
============================
```
1. Install Mongodb and start mongodb with the data downloaded from above
   For example ./mongod --dbpath data/db
2. Install Hadoop cluster for running MapReduce Job and start the cluster
3. Install Spring Tool Suite because the program is written on Spring Data
4. Install Maven
```
Steps for running the program
============================
1. Download the source
2. Unzip the folder and open a java class Classify.java
3. Edit the path of classifier.txt file (Save and close the file)
4. Go to the download source folder from your terminal window
5. Run maven command " mvn clean compile package"
6. Open Spring Tool Suite and import the project
7. Run the project

Twitter-sentimental-analysis

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