planeshifter/tweet-sentiment

SVM Classifier to Detect Sentiment of Tweets

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