Skip to content

Say Goodbye To Texts Manual Summarizing Using This API

The fact that more and more of us are connected to the Internet and that we generate more and more content makes the analysis or study of the information hosted on the network an unaffordable task. A large amount of this information consists of texts such as news, opinion articles, scientific documents, article reviews, etc.

Natural Language Processing (NLP) is the branch within the field of computer science, linguistics and artificial intelligence that deals with the study and development of techniques that allow computers to understand and process human language.

Specifically, Text Summarization or Automatic Summarization is the technique by which we can synthesize long text fragments into shorter text fragments containing only that information that is relevant. Thanks to this we can design and develop models that help us to condense and present the information saving reading time and maximizing the amount of information per word.

Widely used text summarization models

Depending on how the summary is made, we can distinguish two strategies:

Extraction: This consists of identifying and extracting relevant entities directly from the original document without subjecting them to any type of modification. These entities can be words or phrases. The simplest case would be to use words as tags to subsequently classify a given document. The detection of these keywords can be done by searching the document for a series of words established a priori as relevant or, for example, by means of a model (Latent Dirichlet Allocation [3], or LDA, allows the detection of the predominant topics or themes in a given corpus, or set of documents).

By this method the automatic summary of a document is made by combining these words and/or phrases into more complex structures but without making any modification to the extracted text.

Abstraction: This technique, in addition to detecting the most relevant entities in the document, is able to generate text from these entities. This paraphrasing has to be done with a natural language generation model (GLN, or NLG), so the complexity of this method is higher compared to the previous one.

Automatically summarize your texts using Plaraphy

The Plaraphy API is a text analysis tool with a variety of functions, including summarizing the text you supply, rewriting, paraphrasing, plagiarism checking, sentiment analysis, classifier, and text extraction from the url you specify.

Furthermore, when you are pressed for time and lack creativity, an API like Plaraphy, which can change any word, phrase, or paragraph, may be helpful for purposes other than summarizing. It offers you a choice of synonyms to choose from, in three different modes (standard, fluent, and creative), giving you greater control over the tone of your writing.

All you have to do is go to the website, click here.

– Go to the upper right button ‘Text Analysis.

– Select the ‘Sentiment’ tab.

– Paste the text you wish the API to analyze in the given box.

– Validate you’re not a robot, and click on ‘Run’.

That simple and fast! In no time, you’ll be sending API requests! You may also be restricted to a specific amount of API queries each month, depending on your subscription. To explore Plaraphy‘s pricing and pick the best plan for you, click here.

With this knowledge in hand, you can always use Plaraphy API to target your business on the needs of the clients you want to attract and keep!

You might also be interested in: Be Sure That Your Texts Don’t Have Already Existing Content Using This Plagiarism Checker API

Published inAppsTechnology

Be First to Comment

Leave a Reply

%d bloggers like this: