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ParallelDots Semantic Analysis API Search Results & Alternatives
This API can extract important topics from any given text or URL and suggests all relevant Wikipedia Pages related to those topics. You can use it in your application or product for a recommendation system, personalization, semantic analysis, etc. It can take any type of text as input and will perform best on URLs corresponding to news, blog, content, etc.
This service provides detailed linguistic information for a given text in English, Spanish, French, Italian, Portuguese and Catalan. There are three operating modes that cover different aspects of the morphosyntactic and semantic analysis: Lemmatization, which provides the lemmas of the different words in a text; PoS tagging: which provides not only the grammatical category of a word, including semantic information about that word; Syntactic analysis: that provides a thorough syntactic analysis, giving a complete syntactic tree where the leaves represent the most basic elements and their morphological and semantic analyses.
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.
Tabex PDF Intelligence API is designed to help you extract meaningful data in your data flow. Millions of PDF are created daily around the world and contain data in border-less and bordered tabular forms. Tabex helps you to make these data available in a meaningful and actionable format. Start discovering the hidden insights from your documents. Tabex PDF Data intelligence API is designed to offer both performances and flexibility. The API is restful call that offers high speed and precision. Developers can call the API in different modes and integrate it in a variety of work flows for semantic analysis, data capture, Financial data base building and others. The API is able to extract tabular data from both scanned and editable PDF into a variety of formats. Formats include PDF to EXCEL, PDF to XML, PDF to CSV, PDF to HTML and PDF to Text. The API leverages several algorithms to identify tabular data, extract them in editable or machine readable format and allow developers to leverage data in their data work flow.
Enhanced Text Analysis capabilities: language detection, summarization, webpage content and metadata extraction, named entity recognition, sentiment analysis, semantic content comparison, IAB and IPTC content classification, document vectorization. TrustServista is a software solution provided by Zetta Cloud (www.zettacloud.ro). Read more: www.trustservista.com
Dandelion API is a set of semantic APIs to extract meaning and insights from texts in several languages (Italian, English, French, German and Portuguese). It's optimized to perform text mining and text analytics for short texts, such as tweets and other social media. Dandelion API extracts entities (such as persons, places and events), categorizes and classifies documents in user-defined categories, augments the text with tags and links to external knowledge graphs and more. Dandelion API easily scales to support billions of queries per day and can be adapted on demand to support custom and user-defined vocabularies. Additional languages are available on demand.
Related APIs in Category: Artificial Intelligence
ParallelDots Website Summary:
Text Analysis APIs Visual Intelligence APIs Hello this is a wromg email Semantic analysis API can help bloggers, publishing and media houses to write more engaging stories by retrieving similar articles from the past quickly, and news aggregators to combine similar news from different sources to reduce clutter in the feeds of their readers. [...] ParallelDots semantic similarity algorithm can be trained in an unsupervised fashion allowing you to customize it on your dataset and improve the accuracy. [...] It helps in comparing the structure and meaning of the text which can be used to extract similar text and phrases from corpus.