Limitations of information extraction methods and techniques for heterogeneous unstructured big data
During the recent era of big data, a huge volume of unstructured data are being produced in
various forms of audio, video, images, text, and animation. Effective use of these …
various forms of audio, video, images, text, and animation. Effective use of these …
Natural language processing for Nepali text: a review
Because of the proliferation of Nepali textual documents online, researchers in Nepal and
overseas have started working towards its automated analysis for quick inferences, using …
overseas have started working towards its automated analysis for quick inferences, using …
Nepali news classification using Naive Bayes, support vector machines and neural networks
Automated news classification is the task of categorizing news into some predefined
category based on their content with the confidence learned from the training news dataset …
category based on their content with the confidence learned from the training news dataset …
Empirical evaluation and study of text stemming algorithms
Text stemming is one of the basic preprocessing step for Natural Language Processing
applications which is used to transform different word forms into a standard root form. For …
applications which is used to transform different word forms into a standard root form. For …
[PDF][PDF] Survey of named entity recognition systems with respect to Indian and foreign languages
ABSTRACT Named Entity Recognition (NER) is sub task of Information Extraction that
includes identification of named entities and classification of them into named entity classes …
includes identification of named entities and classification of them into named entity classes …
Query based information retrieval and knowledge extraction using Hadith datasets
In Natural language processing, one of the fundamental tasks is Named Entity Recognition
(NER) that include identifying names of peoples, locations and other entities. Applications of …
(NER) that include identifying names of peoples, locations and other entities. Applications of …
Named entity recognition in Odia language: a rule-based approach
A Anandika, S Chakravarty… - International Journal of …, 2023 - inderscienceonline.com
NLP can be defined as a process of automatic handling of human spoken languages by
computers. NLP is a vast research field linked to multiple areas like artificial intelligence …
computers. NLP is a vast research field linked to multiple areas like artificial intelligence …
Named entity recognition for nepali language
Named Entity Recognition (NER) has been studied for many languages like English,
German, Spanish, and others but virtually no studies have focused on the Nepali language …
German, Spanish, and others but virtually no studies have focused on the Nepali language …
Sentiment analysis in Nepali: exploring machine learning and lexicon-based approaches
In recent times, sentiment analysis research has achieved tremendous impetus on English
textual data, however, a very less amount of research has been focused on Nepali textual …
textual data, however, a very less amount of research has been focused on Nepali textual …
A study on machine learning approaches for named entity recognition
A Anandika, SP Mishra - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Natural Language Processing (NLP) is one of the sub-parts of Artificial Intelligence which
normally focuses on empowering computers to understand and operate on human …
normally focuses on empowering computers to understand and operate on human …