tweetfeels | time sentiment analysis in Python using twitter | Predictive Analytics library

by uclatommy Python Version: 0.4.1 License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tweetfeels Summary

tweetfeels is a Python library typically used in Analytics, Predictive Analytics applications. tweetfeels has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install tweetfeels' or download it from GitHub, PyPI.

Tweetfeels relies on VADER sentiment analysis to provide sentiment scores to user-defined topics. It does this by utilizing Twitter's streaming API to listen to real-time tweets around a particular topic. Some possible applications for this include:.

Support

Quality

Security

License

Reuse

Support

tweetfeels has a low active ecosystem.

It has 248 star(s) with 47 fork(s). There are 21 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 24 have been closed. On average issues are closed in 36 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tweetfeels is 0.4.1

Quality

tweetfeels has 0 bugs and 14 code smells.

Security

tweetfeels has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tweetfeels code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tweetfeels is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

tweetfeels releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

tweetfeels saves you 374 person hours of effort in developing the same functionality from scratch.

It has 891 lines of code, 87 functions and 10 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed tweetfeels and discovered the below as its top functions. This is intended to give you an instant insight into tweetfeels implemented functionality, and help decide if they suit your requirements.

Return the sentiment of the feed
Return a generator of sentiment values
Fetch tweets from database
Compute the sentiment of the sentiment
Get tweets between start and end
Called when an error occurs
Start the stream
Disconnects the stream
The sentiment of the text
Cleans the text

Get all kandi verified functions for this library.

tweetfeels Key Features

No Key Features are available at this moment for tweetfeels.

tweetfeels Examples and Code Snippets

No Code Snippets are available at this moment for tweetfeels.

Community Discussions

Trending Discussions on tweetfeels

Tweet Feels: Always returns the same Sentiment Score, regardless tags

QUESTION

Tweet Feels: Always returns the same Sentiment Score, regardless tags

Asked 2018-Jan-04 at 15:48

I am trying to use this library to generate sentiment score for cryptocurrencies:

https://github.com/uclatommy/tweetfeels/blob/master/README.md

When I use the code from the example trump, it returns a sentiment score of -0.00082536637608123106.

I have changed the tags to the following:

...

ANSWER

Answered 2017-Dec-30 at 08:02

No, the same sentiment value that you see printed is not related to the warning you've got when downloading the dataset.

The problem with the same sentiment score is coming from these lines:

Source https://stackoverflow.com/questions/48030920

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install tweetfeels

The easiest way is to install from PyPI:.
The easiest way is to install from PyPI: > pip3 install tweetfeels
If you've installed from PyPI and want to upgrade: > pip3 install --upgrade tweetfeels
You can also install by cloning this repo: > git clone https://github.com/uclatommy/tweetfeels.git > cd tweetfeels > python3 setup.py install

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: