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MeaningCloud Automatic Summarization API

MeaningCloud Automatic Summarization API
MeaningCloud Automatic Summarization API
0

This API was created by MeaningCloud. The MeaningCloud Automatic Summarization API endpoint is located at https://api.meaningcloud.com/summarization-1.0. You can find the MeaningCloud portal / hompage here. The MeaningCloud Automatic Summarization API is not currently available on the RapidAPI marketplace. Click "Request this API on RapidAPI" to let us know if you would like to access to this API. Meanwhile, you can check out the top APIs that currently available for developers.

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Summarization Summarization
Summarization is MeaningCloud's solution to extract a summary for a given document, selecting the most relevant sentences in it to try to sum up what it is about. This process does not take into account the language when it evaluates the importance of a sentence, which means that it's language independent and can be applied to documents in any language.
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Text Clustering is MeaningCloud's solution for automatic document clustering, i.e., the task of grouping a set of texts in such a way that texts in the same group (called a cluster) are more similar to each other than to those in other clusters.
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Deep Categorization Deep Categorization
Deep Categorization is MeaningCloud's solution for in-depth rule-based categorization. It assigns one or more categories to a text, using a very detailed rule-based language that allows you to identify very specific scenarios and patterns using a combination of morphological, semantic and text rules.
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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.
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Text Classification Text Classification
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.
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MeaningCloud Automatic Summarization API Search Results & Alternatives

Text Summarization Text Summarization

Text Summarization API provides professional text summarizer service which is based on advanced Natural Language Processing and Machine Learning technologies. It can be used to summarize short important text from the URL or document that user provided. If you want test our automatic text summarization service, you can use our free automaticText Summarizer online demo: http://textsummarization.net/text-summarizer

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Summarization Summarization

Summarization is MeaningCloud's solution to extract a summary for a given document, selecting the most relevant sentences in it to try to sum up what it is about. This process does not take into account the language when it evaluates the importance of a sentence, which means that it's language independent and can be applied to documents in any language.

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Text Clustering Text Clustering

Text Clustering is MeaningCloud's solution for automatic document clustering, i.e., the task of grouping a set of texts in such a way that texts in the same group (called a cluster) are more similar to each other than to those in other clusters.

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Language Identification Language Identification

Automatic language detection for texts obtained from any kind of source (blog, twitter, online news and so on). Through statistic techniques based on N-grams evaluation, more than 60 languages are correctly identified.

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Text Classification Text Classification

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.

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Language Identification (Prediction) Language Identification (Prediction)

Automatic language detection for any texts. Supports over 150 languages. No training data is needed!

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Summarization Summarization

Summarization is MeaningCloud's solution to extract a summary for a given document, selecting the most relevant sentences in it to try to sum up what it is about. This process does not take into account the language when it evaluates the importance of a sentence, which means that it's language independent and can be applied to documents in any language.

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Summarization -Index -Summary -Part of Speech Summarization -Index -Summary -Part of Speech

Summarize the content of a web page. Returns a summary, the parts of speech for each sentence, the extracted HTML, and the content make up of the page. Natural Language Processing (NLP) gives the system the ability to find the content on the page, but Natural Language Understanding (NLU) enables that content to be classified, and ranked. EnElYou uses a proprietary NLP engine that is faster than any competitor, and maintains high accuracy rates. The synonym and concept engine allows content to be summarized ranking more than keywords. Concepts and Topics influence ranking. Unlike other API's Character counts are very precise. The engine will do its best to get the best summary possible with in the character counts. The "Reauthor" feature rewrites some portions of summaries to make them more concise.

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About MeaningCloud

MeaningCloud is a Software as a Service product that enables users to embed text analytics and semantic processing in any application or system. MeaningCloud extends the concept of semantic API with a cloud-based framework that makes the integration of semantic processing into any system something close to a plug-and-play experience. MeaningCloud is available both in SaaS mode and on-premises. Advanced APIs provide a functionality optimized for diverse applications and ease of use. In addition, customization and integration capabilities offer a fast learning curve and a short time to obtain results. MeaningCloud is a brand by MeaningCloud LLC, a wholly owned subsidiary of MeaningCloud Europe S.L., previously known as Daedalus. Daedalus was founded in 1998 by Jose C Gonzalez and other colleagues as a spin-off from their Artificial Intelligence research lab at the Technical University of Madrid.
via Wikipedia

MeaningCloud Website Summary:

The Summarization API allows you to summarize the meaning of a document, extracting its most relevant sentences. In this age of overabundance of information and lack of time we would all like to have a tool to help separate the wheat from the chaff, something that succinctly provides the most relevant information contained in each document, so that you know whether to give it a more in-depth reading or put it aside. MeaningCloud’s Summarization API does just that: locates the most relevant phrases in a document and builds a synopsis with them, so that you can quickly understand its ideas without having to read it in its entirety. [...] It works regardless of the language the text is written in. It selects the most relevant sentences to express the most meaningful information of the text in its own terms.

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