https://github.com/candlewill/short_texts_sentiment_analysis
Short informal texts sentiment analysis
https://github.com/candlewill/short_texts_sentiment_analysis
Last synced: 11 months ago
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Short informal texts sentiment analysis
- Host: GitHub
- URL: https://github.com/candlewill/short_texts_sentiment_analysis
- Owner: candlewill
- Created: 2015-06-30T09:45:53.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2015-07-14T08:29:00.000Z (almost 11 years ago)
- Last Synced: 2025-03-11T11:34:47.255Z (over 1 year ago)
- Language: Python
- Size: 53.2 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Sentiment Analysis Using Clustering
## Sentiment Analysis for short texts
This project is written with python 3.4, to predict the sentiment polarity of short texts.
- Short texts specified
- Tweets
- MSM
- Short reviews
Just as somebody says:
> Traditionally it's been a problem that researchers did not have enough spatial data to answer useful questions or build compelling visualizations. Today, however, the problem is often that we have too much data. Too many scattered points on a map can overwhelm a viewer looking for a simple narrative. Furthermore, rendering a javascript web map (like Leaflet) with millions of data points on a mobile device can swamp the processor and be unresponsive.
### Version
0.9.89
License
----
[Yunchao He] @[YZU]
### Website
* [http://sentiment-mining.blogspot.com/]
### Installation
We use pycharm to develop it, if you want to use it in Ubuntu, you could:
```sh
$ git ...
$ python3 simple_main.py
```
### Contact Us
yunchaohe@gmail.com
**NOTICE: Still developing, more usefull function later.**
**Any advice and suggest would be welcomed, thank you.**
[Yunchao He]: https://facebook.com/yunchao.h
[http://sentiment-mining.blogspot.com/]: http://sentiment-mining.blogspot.tw/
[YZU]: http://www.yzu.edu.tw/