Naive Sentiment Analysis Using R

Written by cleuton-sampaio | Published 2020/02/12
Tech Story Tags: data-science | r | rlang | machinelearning | natural-language-processing | sentiment-analysis-ai | sentiment-analysis | nlp

TLDR Naive Sentiment Analysis Using R is a program that classifies messages according to the feeling of the text using techniques of NLP in the R language. It is a naive algorithm that is less than perfect and can give you false negatives. The result is the result of the naive algorithm: "It's a good product, and with some improvements can be a great product!" The program uses the AFINN lexicon file to calculate the weight of a text, based on a -5,+5 interval. It then uses the lexical file to assign weights to each word, summing the result to cancel positive ones.via the TL;DR App
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Written by cleuton-sampaio | Founder: "pythondrops.com". Full-stack dev/ AI Engineer/ Professional Writer/ M.Sc. Rio de Janeiro
Published by HackerNoon on 2020/02/12
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