Ambiverse Natural Language Understanding API extracts entities from unstructured text, enabling a more precise transformation of texts into actionable, measurable, and easily accessible knowledge. Entities are identified by types such as person, location, organization, or product, and linked to the Wikipedia-derived YAGO knowledge graph. You can query the knowledge graph to obtain further information about these entities, such as Wikipedia links, textual descriptions, images, and lists of relevant categories.
Diffbot extracts data from web pages automatically and returns structured JSON. For example, our Article API returns an article's title, author, date and full-text. Use the web as your database! We use computer vision, machine learning and natural language processing to add structure to just about any web page.
Yactraq Speech2Topics is a cloud service that converts audiovisual content into topic metadata via speech recognition & natural language processing. Customers use Yactraq metadata to target ads, build UX features like content search/discovery and mine Youtube videos for brand sentiment. In the past such services have been expensive and only used by large video publishers. The unique thing about Yactraq is we deliver our service at a price any product developer can afford.
DuckDuckGo Zero-click Info includes topic summaries, categories, disambiguation, official sites, !bang redirects, definitions and more. You can use this API for many things, e.g. define people, places, things, words and concepts; provides direct links to other services (via !bang syntax); list related topics; and gives official sites when available.
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.
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.
Automatic multilingual text classification according to pre-established categories defined in a model. The algorithm used combines statistic classification with rule-based filtering, which allows to obtain a high degree of precision for very different environments. Three models available: IPTC (International Press Telecommunications Council standard), EuroVocs and Corporate Reputation model. Languages covered are Spanish, English, French, Italian, Portuguese and Catalan.
Multilingual sentiment analysis of texts from different sources (blogs, social networks,...). Besides polarity at sentence and global level, Sentiment Analysis uses advanced natural language processing techniques to also detect the polarity associated to both entities and concepts in the text. Sentiment Analysis also gives the user the possibility of detecting the polarity of user-defined entities and concepts, making the service a flexible tool applicable to any kind of scenario. Additionally, Sentiment Analysis detects if the text processed is subjective or objective and if it contains irony marks [beta], both at global and sentence level, giving the user additional information about the reliability of the polarity obtained from the sentiment analysis.
Geneea provides a customizable cloud-based NLP platform. It detects the language of the text, its topics, content and sentiment, as well as mentions of people, companies, locations, etc. It extracts the main content from a webpage ignoring ads. English and Czech language are supported. German, Spanish and French are coming soon. It operates through REST API, so you can easily integrate the platform into your systems and processes.
Linguakit API (formerly CilenisAPI) helps you to analyze and extract information from texts. Add language technology to your software in a few minutes using our cloud solution. We offer you technology based on years of research in Natural Language Processing in a very easy and scalable SaaS model trough a RESTful API.
NLP APIs are essential in creating awesome apps. Get started today by using Natural Language Processing APIs like Google's Cloud NLP, Text mining/processing APIs, and various other NLP APIs available on RapidAPI. There are NLP APIs for extracting entities, determining sentiment and detecting languages. Browse this collection to see which API is the best fit!