Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Twitter Sentimental Analysis #2

Open
GurprasadSingh opened this issue Jul 27, 2019 · 0 comments
Open

Twitter Sentimental Analysis #2

GurprasadSingh opened this issue Jul 27, 2019 · 0 comments

Comments

@GurprasadSingh
Copy link
Collaborator

Sentiment Analysis, also called opinion mining or emotion AI, is the process of determining whether a piece of writing is positive, negative, or neutral based on the polarity of words ranging from - 1 to 1.
Here we’ll connect to the Twitter API, gather tweets (based on a keyword), calculate the sentiment of each tweet.
order to access the Twitter API, you need to register an application at http://apps.twitter.com. Once created, you should be redirected to your app’s page, where you can get the consumer key and consumer secret and create an access token under the “Keys and Access Tokens” tab. Add these to a new file called config.py:

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant