Online English Summarizer tool, free and accurate!
Abstract-- Finding semantic text similarity (STS) between two pieces of text is a well-known problem in Natural Language Processing.Its applications are nearly in every field such as plagiarism detection, finding related user queries in customer services or finding similar questions in search engines or forums like Stack Overflow, Quora and Stack exchange.This paper uses Word2Vec and Sent2Vec models to facilitate the process of knowledge extraction from a given corpus.
Abstract— Finding semantic text similarity (STS) between two pieces of text is a well-known problem in Natural Language Processing. Its applications are nearly in every field such as plagiarism detection, finding related user queries in customer services or finding similar questions in search engines or forums like Stack Overflow, Quora and Stack exchange. If applied to any religious text, it can help to relate how similar pieces of knowledge are described in different places. This paper uses Word2Vec and Sent2Vec models to facilitate the process of knowledge extraction from a given corpus. The paper makes use of several English translations of the Holy Quran which is the most sacred book for Muslims. Sent2vec models have been trained from several translations of the book and the trained models are then subsequently utilized to study the semantic relationship between different words and sentences. The performance of the custom-built word embeddings is compared against the pre-trained embeddings provided by the Spacy library.
Summarize English and Arabic text using the statistical algorithm and sorting sentences based on its importance
You can download the summary result with one of any available formats such as PDF,DOCX and TXT
ٌYou can share the summary link easily, we keep the summary on the website for future reference,except for private summaries.
We are working on adding new features to make summarization more easy and accurate
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