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Ujeebu provides tools for content extraction and text analysis and classification.
English dictionary API providing an access to data of over 800 000 English lexical entries, such as words, phrasal verbs, multiword expressions etc. Use the API to get word definitions, usage examples, pronunciations, synonyms and antonyms or for text processing (lemmatization, morpheme segmentation, root word extraction, word inflections).
Sentiment analysis, stemming and lemmatization, part-of-speech tagging and chunking, phrase extraction and named entity recognition.
This API provides you with tools to find nutrition and diet data for generic foods, packaged foods and restaurant meals. In addition it employs NLP (Natural Language Processing) which allows for extraction of food entities from unstructured text. Covered Use Cases: Search for a food by keyword, food name or UPC/Barcode Sourcing of nutrition facts for a given food, including: macro and micro nutrients, allergen labels, lifestyle and health labels Search for a food by given nutrient quantity for 28 nutrients Seach for foods within a given brand With the build in food-logging context it allows for NLP requests for chat bots and natural language calorie counters
sentiment-analysis, text-summarization, language-detection, article-extraction, named-entity-recognition, extract-text from documents and images
Spelling and grammar checker with automatic correction. Text summarization and keyword extraction. Language detection. Readability calculator.
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, TextBlob, Pattern, MBSP and etc. You can test the services on our demo website TextAnalysisOnline and use the TextAnalysis API on Mashape. If you have any questions or want any customized text analysis services, you can contact us by email: firstname.lastname@example.org
The Nutrition Analysis API and Database uses Natural Language Processing and semantically structured data.
TLDR (Too Long Didn't Read) is a Text Analysis API that allows you to extract summaries and ranked keywords from articles on web.
A text extraction, manipulation, and analysis api. Putting the power of natural language processing (nlp) in every developers hands.
Multilingual Sentiment, Entity extraction, disambiguation for cheap and at a scale.
Powerful image optical character recognition (OCR) for over 20 languages and with machine-readable-zone support. Perfect for a wide range of use-cases, including but not limited to receipt and invoice scanning as well as general image-based text extraction, the default service currently allows you to POST an image of up to 1MB for analysis. If you require larger images, or PDF scans, please contact us for invitation to a custom plan.
Simple Optical Character Recognition(OCR) service which provide automating data extraction from printed or written text.
Scraping API: Hassle-Free Data Extraction. Our scraping API handles all problems that are related to web scraping. Website HTML extraction has never been so easy!
Keyword Extraction API provides professional keyword extractor service which is based on advanced Natural Language Processing and Machine Learning technologies. It can be used to extract topn important keywords from the URL or document that user provided. If you want test our automatic keyword extraction service, you can use our free automatic keyword extractor online demo: http://keywordextraction.net/keyword-extractor
Topics Extraction tags locations, people, companies, dates and many other elements appearing in a text written in Spanish, English, French, Italian, Portuguese or Catalan. This detection process is carried out by combining a number of complex natural language processing techniques that allow to obtain morphological, syntactic and semantic analyses of a text and use them to identify different types of significant elements.