Text Summarization with Automatic Keyword Extraction in Telugu e-Newspapers

A survey on different dimensions for graphical keyword extraction techniques

“…The classifications discussed in this article are limited to the GKET. Language Independence Academic researchers are working on AKE from texual documents of different languages, for instance, Telugu Naidu et al (2018), Chinese Chen et al (2020a), Li et al (2017), English (KPTimes and JPTimes), German Kölbl et al (2020), Dutch Sterckx et al (2018), Polish (Pak2018), Spanish Aquino and Lanzarini (2015), Portuguese , and French Bougouin et al (2013). The structure of the word distribution in Chinese and English documents is well studied using GoW evolved from these documents and different patterns are observed.…”

An Integrated Development of a Query-Based Document Summarization for Afaan Oromo Using Morphological Analysis

“…Python is the software that is used to develop the prototype. Python is used because it is easy to work with, learn, and adaptable scripting language which makes it attractive for development (6) . HORN MORPHO 2.5 is a tool used for POS tagging activity.…”

“…The TextRank algorithm was used as a baseline for testing several text embeddings models, including fasttext and smooth inverse frequency embedding. Bharti, Babu and Jena (6) examined text summarization research from the perspectives of automatic keyword extraction, text databases, summarization process, summarization methodology, and evaluation matrices. The author suggests that text summarizing work be focused on languages with limited resources.…”

Review and Comparative Analysis of Topic Identification Techniques

“…In order to assign the documents to a particular browsing, category classification is generally used. Authors in [8] proposed a text summarization algorithm for Telugu e-newspaper. This paper presents numerous existing text mining techniques along with their advantages and limitations.…”