n4m-sentiment

Sentiment analysis for your MaxMSP patches using Node For Max using the Sentiment Node.js module.

n4m-sentiment.mp4

Features

Analyses your text using the AFINN-165 wordlist and Emoji Sentiment Ranking to perform sentiment analysis on arbitrary blocks of input text.

Installation

Use the script npm install message the first time you run the patch

Run

1. Use the script start message every time you run the patch
2. prepend analyse to any text string and send to node.script
3. Inspect the keys and values in the dictionary that is output
   • Score: Score calculated by adding the sentiment values of recognized words.
   • Comparative: Comparative score of the input string.
   • Calculation: An array of words that have a negative or positive valence with their respective AFINN score.
   • Token: All the tokens like words or emojis found in the input string.
   • Words: List of words from input string that were found in AFINN list.
   • Positive: List of positive words in input string that were found in AFINN list.
   • Negative: List of negative words in input string that were found in AFINN list.

Example patch

1. try the example sentences in the messages
2. type your own
3. check out the n4m-sentiment.js script