tweet-sentiment
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
Installation
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
Getting Started
After installation, it is possible to obtain help about the possible options of the program by typing
tweet-sentiment --help
Command Line Interface
tweet-sentiment predict [options] <file>
First Header | Second Header |
---|---|
-h, --help | output usage information |
-o, --output [value] | Name of output file |