||Stremor automated Summary and Abstract Generator
||Language heuristics goes a step beyond Natural Language processing to extract intent from text. Summaries is created through extraction, but maintain readability by keeping sentence dependencies intact.
||Sentiment analysis, stemming and lemmatization, Part-of-speech tagging and chunking, phrase extraction and named entity re Cognition.
||Skyttle API Extracts topical keywords (single words and multiword expressions) and sentiment (positive or negative) Expres Sed in text. Languages supported is 中文版, French, German, Russian.
||The service lifts the key text from an HTML page. Get up a started with Summarizer app in few steps. The textuality API from Saaskit finds out to the most relevant piece of information on web-pages.
||The Webknox Text processing API lets you process (natural) language texts. You can detect the Textâ€™s language, the quality of the writing, find entity mentions, tag Part-of-speech, extract dates, Extract locations, or determine the sentiment of the text.
||The Webknox question-answering API allows you-find answers to natural language questions. These questions can be factual such as "What's the capital of Australia" or more complex.
||Jeannie (Voice Actions) is a virtual assistant with over-Million downloads, now also available via API. The objective of this service are to provide you and your robot with the smartest answer to any natural language question, Just like Siri.
||Diffbot extracts data from Web pages automatically and returns structured JSON. For example, we article API returns an article ' s title, author, date and Full-text. Use the web as your database! We Use the computer vision, machine learning and natural language processing to add structure to just on any Web page.
||Text processing framework to analyse Natural Language. It is especially focused on text classification and sentiment analysis of online news media (general-purpose, multiple top ICS).
||Yactraq Speech2topics is a cloud service this 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.
||–this API takes a paragraph and returns the text with each word stemmed using porter stemmer, Snowball Stemmer or UEA Ste Mmer
||Style and grammar checking/proofreading for more than languages, including 中文版, French, Polish, Spanish and Germa N.
||DuckDuckGo zero-click Info includes topic summaries, categories, disambiguation, official sites,!bang redirects, Definiti ONS and more. You can use the 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
||ESA Semantic relatedness
||Calculates the semantic relatedness between pairs of text excerpts based on the likeness of their meaning or semantic cont Ent.
||ALCHEMYAPI provides advanced cloud-based and on-premise text analysis infrastructure that eliminates the expense and diffi Culty of integrating natural language processing systems into your application, service, or data processing pipeline.
|| sentence recognition
|| The sentence recognition API would match strings of Text based off of the meaning of the sentences. Itâ€™s powerful NLP engine offering utilizes a semantic network to understand the text presented.
|| textalytics media Analytics
|| textalytics Media analysis API analyzes men tions, topics, opinions and facts in all types of media. This API provides services for:sentiment analysis Extracts positive and negative opinions according to the context. Entities extraction identifies persons, companies, brands, products, etc. and provides a canonical form that unifies Diffe Rent mentions (IBM, International Business Machines Corporation, etc) Topic and keyword extraction Facts and other keys information Dates, URLs, addresses, user names, e-mails and money amounts . Thematic classification Organize information by topic using IPTC Standard Classification, more than categories Hierarc hically structured). configured for different type of media:microblogging and social networks, blogs and news
||Multilingual semantic Analysis of text:developers can annotate unstructured documents and short pieces of text, and Conne CT them to resources in the Linked Open Data cloud, such as DBpedia or Freebase. Other features include text comparison, summarization and language detection.
||Textalytics Topics Extraction
||Textalytics Topics Extraction Tags locations, people, companies, dates and many other elements appearing in a text written In Spanish, 中文版, French, Italian, Portuguese or Catalan. This detection process is carried off by combining a number of complex natural language processing techniques the Allow T o obtain morphological, syntactic and semantic analyses of a text and use them to identify different types of significant Elements.
|| textalytics spelling Grammar and Style proofreading