CoreNLP vs FinSignals
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It provides a set of natural language analysis tools written in Java. It can take raw human language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize and interpret dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases or word dependencies, and indicate which noun phrases refer to the same entities. | Delivers real-time financial sentiment analysis via a fast, structured API. 7 classification heads, 5-15 ms latency. Sector rotation endpoint. Free tier available - get your API key in 60 seconds. |
An integrated NLP toolkit with a broad range of grammatical analysis tools;
A fast, robust annotator for arbitrary texts, widely used in production;
A modern, regularly updated package, with the overall highest quality text analytics;
Support for a number of major (human) languages;
Available APIs for most major modern programming languages
Ability to run as a simple web service | Finance-tuned NLP, 7 signals per API call, Trained on Reddit, Batch up to 256 posts, 5-15ms inference, Free tier available, Python SDK, Sector rotation endpoint, No prompt engineering needed, Structured JSON output |
Statistics | |
GitHub Stars 10.0K | GitHub Stars - |
GitHub Forks 2.7K | GitHub Forks - |
Stacks 19 | Stacks 0 |
Followers 23 | Followers 1 |
Votes 1 | Votes 1 |
Integrations | |
| No integrations available | |
What are some alternatives to CoreNLP, FinSignals?
rasa NLU
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SpaCy
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GoSquared
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Gauges
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Speechly
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MonkeyLearn
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Jina
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Sentence Transformers
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FastText
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Flair
Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification.
