Housing costs are the main driver, with mortgage payments alone accounting for more than 63% of the monthly total across 12 ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Canonicalization happens both before and after rendering. Conflicting canonical signals between raw HTML and JavaScript output can cause unexpected indexing results. Google recommends setting the ...

Abstract: The method of text sentiment analysis based on sentiment dictionary often has the problems that the sentiment dictionary doesn't contain enough sentiment words or omits some field sentiment ...

The latest State of JavaScript survey provides an up-close look at the JavaScript language features, tools, libraries, and frameworks developers are using and how they're using them. Getting a ...

This is a small and fast library for nlp sentiment analysis which supports any language, or any custom vocabulary. It can also use intensifiers with positive or negative words adding more contrast.

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment ...