https://github.com/alexandrabaturina/sentiment-classifier
Tool to analyze synthetic twitter data from csv file
https://github.com/alexandrabaturina/sentiment-classifier
Last synced: 2 months ago
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Tool to analyze synthetic twitter data from csv file
- Host: GitHub
- URL: https://github.com/alexandrabaturina/sentiment-classifier
- Owner: alexandrabaturina
- Created: 2020-04-06T17:05:35.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-04-10T22:48:35.000Z (about 5 years ago)
- Last Synced: 2025-02-14T20:38:49.350Z (4 months ago)
- Language: Python
- Size: 104 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Sentiment Classifier
**Sentiment Classifier** application (```sentiment_classifier.py```) is a tool for analyzing tweet data and defining how positive or negative each tweet is. After running the application, the following data is written to the ```resulting_data.csv``` file.
* *Number of retweets*
* *Number of replies*
* *Positive score* — how many happy words are in the tweet
* *Negative score* – how many negative words are in the tweet
* *Net score* – how positive or negative the tweet is overall
**Sentiment Classifier** application is built as the final project of the [Python Functions, Files, and Dictionaries](https://www.coursera.org/learn/python-functions-files-dictionaries/home/welcome) course on [Coursera](https://www.coursera.org/) platform.
## Getting Started
### Prerequisites
To use **Sentiment Classifier**, the following files are required.
* ```project_twitter_data.csv``` contains semi-randomly generated tweet data is ```csv``` format
* ```positive_words.txt``` contains a list of words that express positive sentiment
* ```negative_words.txt``` contains a list of words that express negative sentiment
The following folder structure should be created.
```sh
files/
negative_words.txt
positive_words.txt
project_twitter_data.csv
sentiment_classifier.py
```
The ```resulting_data.csv``` file will be also created in the ```files``` directory.
### Running
To run **Sentiment Classifier** from the terminal, use the following command.
```sh
$ python3 sentiment_classifier.py
```
## Authors
Alexandra Baturina
The ```project_twitter_data.csv```, ```positive_words.txt```, and ```negative_words.txt``` files are downloaded from the [Python Functions, Files, and Dictionaries](https://www.coursera.org/learn/python-functions-files-dictionaries/home/welcome) course materials on [Coursera](https://www.coursera.org/) platform.