twitcent 0.0.2

A package for analyzing twitter sentiments based on keyword and number of tweets

Package

Use this package to download and analyze twitter sentiments.

Usage

Before using the package you need to set user parameters obtained by creating a twitter
app first. The package will need to read the user data from your environment variables stored in the following dict format

user_params = {
    "consumerKey": os.environ.get("consumerKey"),
    "consumerSecret": os.environ.get("consumerSecret"),
    "accessToken": os.environ.get("accessToken"),
    "accessTokenSecret": os.environ.get("accessTokenSecret"),
}

Installation

Install the package as follows:
pip3 install twitcent

importing the module

In your script simply import the package as follows:

from twitcent.twitcent import sentiments_dict

Calling the analyzer

The sentiment analysis main function is 'sentiments_dict' which is called under the script as follows:
from twitcent.twitcent import sentiments_dict

Get the sentiments score by calling

Do this to get scored sentiments sentiments_dict('#keyword', '180').
Where #keyword is the main keyword hashtag to search, and '180' is a string referring to the number of tweets to pull.
Be careful not to hit the rate limits allowed by twitter. For this reffer to the
twitter API documentation