https://github.com/dalindev/tweepy

data mining using tweepy, SA using NLTK
https://github.com/dalindev/tweepy

data-mining sentiment-analysis

Last synced: 9 days ago
JSON representation

data mining using tweepy, SA using NLTK

• Host: GitHub
• URL: https://github.com/dalindev/tweepy
• Owner: dalindev
• License: mit
• Created: 2018-11-07T14:00:20.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-05-17T14:28:37.000Z (over 5 years ago)
• Last Synced: 2024-08-01T13:37:38.694Z (3 months ago)
• Topics: data-mining, sentiment-analysis
• Language: Python
• Homepage:
• Size: 438 KB
• Stars: 11
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

Awesome Lists containing this project

README

        
## What is this?

* data mining using tweepy (search by key words ex: 'trump')

* sentiment analysis using NLTK, textblob etc

* words frequence count from a batch of tweeter messages (remove stopwords and stemming)

* calling methods by API

  ```(ex: localhost:5000/search?query=trump&tweet_limit=100&word_freq=20)```

TODO: 

1. mysql for storeage

2. front-end page

3. get all tweets from one user's

4. proper auth

## Mining Twitter Data with python + mysql!

---

### To run you need:

1. python 3.7.0

2. MySQL

3. Twitter Account with consumer key and access token (get approved from twitter first)

Example of app_config.py file

### OAuth Authentication

```

consumer_key=""

consumer_secret=""

access_token=""

access_token_secret=""

```

### Database

```

HOST = "127.0.0.1"

USER = "root"

PASSWD = "mypwd"

DATABASE = "twt_database"

```

### Installation

1. we need tweepy

2. we need TextBlob for sentiment analysis (note that NLTK download is about 3.5 GB)

```

pip install tweepy

pip install nltk

pip install textblob

$ python

>>> import nltk

>>> nltk.download()

```

We have to select “all” and click download.