@planeshifter/tweet-sentiment
Advanced tools
Readme
SVM Classifier to Detect Sentiment of Tweets. The package implements the procedure described in "NRC-Canada: Building the State-of-the-Art in the paper Sentiment Analysis of Tweets" by Saif M. Mohammad, Svetlana Kiritchenko, and Xiaodan Zhu
The tool should be installed globally such that it can be invoked from any directory in the terminal via the command tweet-sentiment.
npm install tweet-sentiment -g
After installation, it is possible to obtain help about the possible options of the program by typing
tweet-sentiment --help
| First Header | Second Header |
|---|---|
| -h, --help | output usage information |
| -o, --output [value] | Name of output file |
FAQs
SVM Classifier to Detect Sentiment of Tweets
The npm package @planeshifter/tweet-sentiment receives a total of 0 weekly downloads. As such, @planeshifter/tweet-sentiment popularity was classified as not popular.
We found that @planeshifter/tweet-sentiment demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
NIST's new AI Risk Management Framework aims to enhance the security and reliability of generative AI systems and address the unique challenges of malicious AI exploits.
Security News
This episode of the Risky Biz podcast discusses how the rise of small open source packages and the shift towards individual maintainers makes the ecosystem more vulnerable to supply chain attacks.
Product
Streamline your login process and enhance security by enabling Single Sign-On (SSO) on the Socket platform, now available for all customers on the Enterprise plan, supporting 20+ identity providers.