As we get the wiki articles we want to calculate sentiment of each one. One easy NLP library is TextBlob. TextBlob contains a basic polarity method rating articles from -1 to 1. Here is a basic ...

As we get the wiki articles we want to calculate sentiment of each one. One easy NLP library is TextBlob. TextBlob contains a basic polarity method rating articles from -1 to 1. Here is a basic ...

Topping our list of best Python libraries for sentiment analysis is Pattern ... The tool assigns individual scores to all the words, and a final sentiment is calculated. TextBlob returns polarity and ...

Sentiment analysis, i.e., determining the emotional tone of a text, has become a crucial tool for researchers, developers, and businesses to comprehend social media trends, consumer feedback, and ...

Lexicon-based and Supervised Machine Learning-based are the two main approaches in sentiment analysis. Bag-of-words model is used to represent the text as a vector of independent words and machine ...

The key highlights are: i) proposed an unsupervised fuzzy logic-based approach for sentiment analysis of textual reviews, ii) the proposed model formulated fuzzy cardinality as the measure for the ...

First, the quantitative analysis aims to find statistically significant correlations between sentiment polarity and the use of the progressive; second, the qualitative analysis aims to assess to what ...