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Node-RED node that uses the AFINN-165 wordlists for sentiment analysis of words.","keywords":["node-red","sentiment","anaylsis","AFINN"],"repository":{"type":"git","url":"https://github.com/node-red/node-red-nodes/tree/master/analysis/sentiment"},"author":{"name":"Dave Conway-Jones","email":"ceejay@vnet.ibm.com","url":"http://nodered.org"},"license":"Apache-2.0","readme":"node-red-node-sentiment\n========================\n\nA <a href=\"http://nodered.org\" target=\"new\">Node-RED</a> node that scores incoming words\nusing the AFINN-165 wordlist and attaches a sentiment.score property to the msg.\n\nNOTE: There is also a multi-language version available - **node-red-node-multilang-sentiment**.\n\nInstall\n-------\n\nThis is a node that should be installed by default by Node-RED so you should not have to install it manually. If you do then run the following command in your Node-RED user directory - typically `~/.node-red`\n\n    npm install node-red-node-sentiment\n\n\nUsage\n-----\n\nUses the AFINN-165 wordlist to attempt to assign scores to words in text.\n\nAttaches `msg.sentiment` to the msg and within that `msg.sentiment.score` holds the score.\n\nA score greater than zero is positive and less than zero is negative. The score typically ranges from -5 to +5, but can go higher and lower.\n\nSee the <a href=\"https://github.com/thisandagain/sentiment/blob/develop/README.md\" target=\"_blank\">Sentiment docs here</a>.</p>\n","readmeFilename":"README.md"}