SentometricsResearch/sentometrics
An integrated framework in R for textual sentiment time series aggregation and prediction
This tool helps financial analysts, economists, or market researchers understand and predict market trends or public opinion by analyzing sentiment from large collections of text, like news articles or social media. It takes raw text data as input, calculates various sentiment scores, aggregates them into time series, and then uses these series to forecast future outcomes. This is ideal for professionals who need to quantify and leverage qualitative textual information in their analyses.
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Use this if you need to extract sentiment from text documents, build different sentiment time series, and use them to predict future events in areas like finance or economics.
Not ideal if you are looking for a simple keyword counter or a tool for basic text summarization rather than advanced sentiment quantification and time series prediction.
Stars
84
Forks
20
Language
R
License
—
Category
Last pushed
Apr 03, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/SentometricsResearch/sentometrics"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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