Results 11 to 20 of about 45,351 (333)
Graph-based extractive text summarization method for Hausa text.
Automatic text summarization is one of the most promising solutions to the ever-growing challenges of textual data as it produces a shorter version of the original document with fewer bytes, but the same information as the original document.
Abdulkadir Abubakar Bichi +4 more
doaj +1 more source
Improved Text Summarization of News Articles Using GA-HC and PSO-HC
Automatic Text Summarization (ATS) is gaining attention because a large volume of data is being generated at an exponential rate. Due to easy internet availability globally, a large amount of data is being generated from social networking websites, news ...
Muhammad Mohsin +7 more
doaj +1 more source
Automatic Summarization Model Combining BERT Word Embedding Representation and Topic Information Enhancement [PDF]
Automatic text summarization can help people to filter and identify information quickly,grasp the key content of news,and alleviate the problem of information overload.The mainstream abstractive summarization model is mainly based on the encoder-decoder ...
GUO Yu-xin, CHEN Xiu-hong
doaj +1 more source
Due to the advance of web technologies and the popularity of video capture devices in the past few decades, the amount of video data is dramatically increasing. Videos are usually analysed by humans which demands immense manpower . Thus, automatic video summarization is an important and growing research area.
Hauva Vali +5 more
openaire +1 more source
Improved Graph-Based Arabic Hotel Review Summarization Using Polarity Classification
The increasing number of online product and service reviews has created a substantial information resource for individuals and businesses. Automatic review summarization helps overcome information overload.
Ghada Amoudi +2 more
doaj +1 more source
AUTOMATED SUMMARIZATION OF RESTAURANT REVIEWS USING HYBRID APPROACHES
The arena of automatic text summarization incorporates the paramount and relevant information from a large document. This research paper attempts at representing two hybrid models for automatic text summarization.
Shini George, V. Srividhya
doaj +1 more source
Automated Script Outline Generator using TextRank Algorithm [PDF]
The process of creating a condensed type of document that retains significant information and thus the general meaning of the source text is known as text summarization.
Zope Urvi +3 more
doaj +1 more source
Abstract: Text Summarization is a Natural Language Processing (NLP) method that extracts and collects data from the source and summarizes it. Text summarization has become a requirement for many applications since manually summarizing vast amounts of information is difficult, especially with the expanding magnitude of data.
Sakshi Jawale +4 more
openaire +1 more source
Automatic summarization of rushes video using bipartite graphs [PDF]
In this paper we present a new approach for automatic summarization of rushes video. Our approach is composed of three main steps. First, based on a temporal segmentation, we filter sub-shots with low information content not likely to be useful in a ...
A.M. Ferman +5 more
core +4 more sources
A survey on Automatic Text Summarization [PDF]
Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate.
N. Nazari, M. A. Mahdavi
doaj +1 more source

