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Utradea's Social Sentiment APIs to track social media activity in relation to stocks and cryptocurrencies. Start with /get-social-list endpoint to determine what stocks/cryptocurrencies you can search for across various endpoints.
Analysing text sentiment by passing text or paragraphs, in single line or multiple lines, and get back with the sentiment analysis report, to get how many of lines be analysed, how many positive, negative, middle sentiment for the lines of text.
Sentiment analysis, stemming and lemmatization, part-of-speech tagging and chunking, phrase extraction and named entity recognition.
sentiment-analysis, text-summarization, language-detection, article-extraction, named-entity-recognition, extract-text from documents and images
Medium API helps you quickly extract data from Medium's Website (https://medium.com). You can gather data related to authors/users, publications, articles/stories (including it's textual content), latest posts within a niche/topic, top writers within a niche/topic, etc...
Trader Calendar API provides its users with an economic calendar that is based on official sources, The API is RESTful based with a simple request method and return an easy to consume response. New data is added every day.
The Text Sentiment API on RapidAPI is one of the fastest and most robust sentiment analysis APIs. It returns values of POSITIVE, NEGATIVE, NEUTRAL, or MIXED and the associated probabilities (confidence) that a text has these sentiments. You can read more about the APi in this blog post: https://jj-espinoza-la.medium.com/the-benefits-and-uses-of-sentiment-analysis-apis-810de5f40fce
Detect topics, topic category of each topic, and then analyze the sentiment towards each of the topics mentioned.
AI-based sentiment classifier that speaks 100 languages! Just post your text and get a sentiment score back (pos./neutr./neg.). No need to specify your text's language! From Russian over German, English or Spanish to Chinese and Japanese -- everything covered!
One API for all your text analysis needs. Sentiment Analysis, Topic Tagging, Lemmatizer, and much more. Various NLP tools all with one plan. Use natural language processing to analyze and understand human sentences.
TextAnalysis API provides customized Text Analysis,Text Mining and Text Processing Services like Text Summarization, Language Detection, Text Classification, Sentiment Analysis, Word Tokenize, Part-of-Speech(POS) Tagging, Named Entity Recognition(NER), Stemmer, Lemmatizer, Chunker, Parser, Key Phrase Extraction(Noun Phrase Extraction), Sentence Segmentation(Sentence Boundary Detection), Grammar Checker and other Text Analysis Tasks. It stands on the giant shoulders of NLP Tools, such as NLTK...
All-in-1 Text Analysis: entity and relation extraction, emotion and sentiment analysis, topic categorization, quote extraction, keyword extraction, measurement extraction, and entity sentiment in a single API.
FREE. Sentiment, Entities, Language, Similarity, Key Phrases, Text Comparisons.
The most comprehensive real-time alpha-generating data feed API for cryptocurrencies, that analyzes social media sentiment, weighted sentiment, mentions, reach, top coins, spikes, influencer posts, and other chatter updates. Based on 100,000,000s of feeds per day from billions of unique sources across Twitter, Telegram, and Reddit for 1000+ cryptocurrencies. Start now for free...
Financial sentiment analysis with the world's most popular deep learning model FinBERT+ in 9 languages: English, Chinese, German, Spanish, French, Italian, Portuguese, Japanese and Dutch.
TLDR (Too Long Didn't Read) is a Text Analysis API that allows you to extract summaries and ranked keywords from articles on web.
Humans are used to taking in non-verbal cues from facial emotions. Now, AI can also get better at reading emotions. The model detects the following emotions on a human face: neutral, joy, sadness, surprise, anger, fear, disgust.
EmoDex is a emotion detection tool for texts. Differentiation with 8 emotions.