https://github.com/brianruizy/tweets-sentiment-analysis
Machine Learning - Personal Python NLP project demonstrating use of sentiment analysis onto user 'tweets' using the Twitter API.
https://github.com/brianruizy/tweets-sentiment-analysis
Last synced: 4 months ago
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Machine Learning - Personal Python NLP project demonstrating use of sentiment analysis onto user 'tweets' using the Twitter API.
- Host: GitHub
- URL: https://github.com/brianruizy/tweets-sentiment-analysis
- Owner: BrianRuizy
- Created: 2019-02-10T04:08:01.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-07-11T02:47:30.000Z (about 6 years ago)
- Last Synced: 2025-04-07T21:51:24.770Z (6 months ago)
- Language: Python
- Homepage:
- Size: 92.8 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Sentiment Analysis 😊💻😟
This is documentation of a personal portfolio project demonstrating the practial use of data science, i.e. Sentiment Analysis, with Python, TextBlob for sentiment, and Tweepy to collect data from *Twitter*.
## About
Sentiment Analysis refers to the use of **natural language processing** which is a subset of AI, and it is proven to be a
useful method for effectively detecting expression in the text. Whether the said expression is negative or positive, it provides valuable insight for many companies and brands.
The Algorithm can be improved to gather data based on their geo/demographics.
## Dependencies
Tools include:
[TextBlob](https://textblob.readthedocs.io/en/dev/),
[Tweepy](https://www.tweepy.org/)
## Versions
* ### UserInput
Will demonstrate the use of sentiment analysis performed on a simple user based input. The output is then a polarity ranging from -1.0 to 1.0, which can then be interpreted as either positive or negative feedback.
[Run Code](https://repl.it/@BrianRuiz1/Sentiment-Analysis)
* ### Tweepy
Will incorporate the use of Twitter's API to gather the text-based off an inputted search keyword.