A python package to analyse the tweets and extract meaning from the data, can be installed with pip.
Project description
Python Package for Twitter's Sentiment Analysis
===============================
version number: 0.0.2
author: Shekhar Jha
Overview
--------
A python package to analyse the tweets and extract meaning from the data, can be installed with pip.
Installing/Setup
--------------------
To install use pip:
$ pip install twittersent
Or clone the repo:
$ git clone https://github.com/ekchusis/twittersent.git
$ python setup.py install
Get the tokens/keys by registering at [Twitter Api](https://developer.twitter.com/en/docs/basics/authentication/guides/access-tokens) and fill put the values of the following variables in `client.py` file
```python
consumer_key = None
consumer_secret = None
access_token_key = None
access_token_secret = None
```
Contributing
------------
TBD
Example
-------
A simple file that takes a list as an input
```python
from client import TwitterSent
import sys
sys.path.insert(0, '/Users/xanthate/twittersent/twittersent')
print("Enter the list of keywords separated by commas: ")
user_input_as_string = input()
user_input_as_list = user_input_as_string.split(',') #splits the input string on commas
user_input_as_list = [a for a in user_input_as_list]
print("Enter the total number of tweets on which the analysis is to be done: ")
input_total_number_of_tweets = int(input())
T = TwitterSent()
value = TwitterSent.calculate_sentiment(T, user_input_as_list, input_total_number_of_tweets)
TwitterSent.barplot(T, value)
```
===============================
version number: 0.0.2
author: Shekhar Jha
Overview
--------
A python package to analyse the tweets and extract meaning from the data, can be installed with pip.
Installing/Setup
--------------------
To install use pip:
$ pip install twittersent
Or clone the repo:
$ git clone https://github.com/ekchusis/twittersent.git
$ python setup.py install
Get the tokens/keys by registering at [Twitter Api](https://developer.twitter.com/en/docs/basics/authentication/guides/access-tokens) and fill put the values of the following variables in `client.py` file
```python
consumer_key = None
consumer_secret = None
access_token_key = None
access_token_secret = None
```
Contributing
------------
TBD
Example
-------
A simple file that takes a list as an input
```python
from client import TwitterSent
import sys
sys.path.insert(0, '/Users/xanthate/twittersent/twittersent')
print("Enter the list of keywords separated by commas: ")
user_input_as_string = input()
user_input_as_list = user_input_as_string.split(',') #splits the input string on commas
user_input_as_list = [a for a in user_input_as_list]
print("Enter the total number of tweets on which the analysis is to be done: ")
input_total_number_of_tweets = int(input())
T = TwitterSent()
value = TwitterSent.calculate_sentiment(T, user_input_as_list, input_total_number_of_tweets)
TwitterSent.barplot(T, value)
```
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