[HTML][HTML] A survey on opinion summarization techniques for social media
The volume of data on the social media is huge and even keeps increasing. The need for
efficient processing of this extensive information resulted in increasing research interest in …
efficient processing of this extensive information resulted in increasing research interest in …
On the use of automated text summarization techniques for summarizing source code
During maintenance developers cannot read the entire code of large systems. They need a
way to get a quick understanding of source code entities (such as, classes, methods …
way to get a quick understanding of source code entities (such as, classes, methods …
Supporting program comprehension with source code summarization
One of the main challenges faced by today's developers is keeping up with the staggering
amount of source code that needs to be read and understood. In order to help developers …
amount of source code that needs to be read and understood. In order to help developers …
Candidate sentence selection for extractive text summarization
Text summarization is a process of generating a brief version of documents by preserving
the fundamental information of documents as much as possible. Although most of the text …
the fundamental information of documents as much as possible. Although most of the text …
Extracting marketing information from product reviews: a comparative study of latent semantic analysis and probabilistic latent semantic analysis
User-generated content (UGC) contains customer opinions which can be used to hear the
voice of customers. This information can be useful in market surveillance, digital innovation …
voice of customers. This information can be useful in market surveillance, digital innovation …
ELSA: A multilingual document summarization algorithm based on frequent itemsets and latent semantic analysis
Sentence-based summarization aims at extracting concise summaries of collections of
textual documents. Summaries consist of a worthwhile subset of document sentences. The …
textual documents. Summaries consist of a worthwhile subset of document sentences. The …
Automatic text summarization using fuzzy inference
Due to the high volume of information and electronic documents on the Web, it is almost
impossible for a human to study, research and analyze this volume of text. Summarizing the …
impossible for a human to study, research and analyze this volume of text. Summarizing the …
Extractive text summarization using clustering-based topic modeling
Text summarization is the process of converting the input document into a short form,
provided that it preserves the overall meaning associated with it. Primarily, text …
provided that it preserves the overall meaning associated with it. Primarily, text …
Graph-based extractive text summarization based on single document
Day by day, the amount of online and offline text data is growing tremendously from various
sources like legal documents, medical documents, news articles, etc. Manual text …
sources like legal documents, medical documents, news articles, etc. Manual text …
[HTML][HTML] CORPURES: Benchmark corpus for urdu extractive summaries and experiments using supervised learning
M Humayoun, N Akhtar - Intelligent Systems with Applications, 2022 - Elsevier
Text summarization is the process of shortening the text so that it conveys the key points.
Several text summarization methods and benchmark corpora are available for languages …
Several text summarization methods and benchmark corpora are available for languages …