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Japanese Keyword Extraction API Search Results & Alternatives
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
This API provides text analysis for Tone, Sentiment, Summarization, Personality Analysis, and more. This API can be used for: Part of Speech Tagging Named Entity Recognition Sentence Disambiguation KeyWord Extraction Summarization and Sentence Significance Sentiment Analysis Alliteration Detection Word Sense Disambiguation Clustering Logistic Regression Scoring Prominence Tagging for Latent Semantic Indexing Tagging for Singular Value Decomposition Phonetic Decomposition Reading Difficulty Modeling Technical Difficulty Modeling Spelling Correction String Comparison and Plagiarism Detection Author Profiling Psychographic Modeling Fact and Statistic Extraction Ism Extraction Character Language Modeling It is also useful in the creation of ChatBots, SearchEngines, and KnolExtraction for Automated Documentation.
Intellexer API includes natural language processing solutions for sentiment analysis, named entity recognition, summarization, keywords extraction, document comparison, file conversion, natural language interface for search engines, language detection, spell-checking, article and concepts extraction, etc.
Sentiment analysis and keyword extraction for English, French, German, Russian. See http://www.skyttle.com for demos, tutorials and example clients. The API is reachable on https://sentinelprojects-skyttle20.p.mashape.com/ . Support for languages other than English is currently available only on custom pricing plans - please get in touch with us if you'd like to use the API for these languages.
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
Related APIs in Category: Japanese
Easily translate text between Arabic, Chinese (Simplified), Chinese (Traditional), Czech, English, French, German, Italian, Japanese, Portuguese, Russian, Spanish, and Turkish. Source Language is optional now. Target Language can use full language or 2-3 character code (NOT case-sensitive). Arabic (ar), Chinese -Simplified (zh), Chinese -Traditional (zht OR chinesetraditional), Czech (cs), English (en), French (fr), German (de), Italian (it), Japanese (ja), Portuguese (pt), Russian (ru), Spanish (es), Turkish (tr)
About NTT Resonant
NTT Communications (エヌ・ティ・ティ・コミュニケーションズ株式会社, Enutiti Komyunikēshonzu Kabushiki-gaisha) or NTT Com, is a subsidiary of Nippon Telegraph and Telephone (NTT) Corporation, the largest telecommunications company in Japan and one of the largest worldwide. NTT Com provides network management, security and solution services to consumers, corporations and governments. As of 1 July 2019, NTT Communications and its subsidiaries became part of NTT Ltd., which is the de facto holding company of NTT. NTT Communications was established in 1999 as a subsidiary of Nippon Telegraph and Telephone Corporation (日本電信電話株式会社, Nippon Denshin Denwa Kabushiki-gaisha). It is the principal NTT subsidiary engaged in long-distance and international telecommunications services. In May 2011, NTT purchased 70% of Frontline Systems, an Australian IT services provider. In October 2013 it merged Frontline Systems with NTT Australia to form NTT ICT.
NTT Resonant Website Summary:
2015/12/16 By using Japanese Keyword Extraction API, you can create an application which extracts "keywords" from an input document. Japanese Keyword Extraction API extracts "keywords", such as person names, location names, organization names, and so on, from an input document consisting of a title and a body. [...] API response body: JSON format API content-type: application/json Click here to get more information about using APIs in goo Labs. [...] ResultJapanese Morphological Analysis APIJapanese Named Entity Extraction APIJapanese Hiragana Conversion APIJapanese Keyword Extraction APISlot Value Extraction API©NTT Resonant Inc.