Sentiment Analysis Lexicon Based Approach

This workflow shows how to perform a lexycon based approach for sentiment analysis of IMDB reviews dataset. The dataset contains movie reviews, previously labelled as positive/negative. The lexicon based approach assigns a sentiment to each word in a text based on dictionaries of positive and negative words. A sentiment score is then calculated for each document as: (number of positive words - number of negative words) / total number of words.

Sentiment Analysis Lexicon Based Approach

 

Resources

EXAMPLES Server: 08_Other_Analytics_Types/01_Text_Processing/26_Sentiment_Analysis_Lexicon_Based_Approach08_Other_Analytics_Types/01_Text_Processing/26_Sentiment_Analysis_Lexicon_Based_Approach*
Download a zip-archive

 

 


* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually