[HTML][HTML] Multi-class sentiment classification on Bengali social media comments using machine learning
Abstract Multi-class Sentiment Analysis (SA) is an important field of computational linguistics
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …
that extracts multiple opinions expressed in a text using NLP and text-mining techniques …
A systematic review of text stemming techniques
Stemming is a program that matches the morphological variants of the word to its root word.
Stemming is extensively used as a pre-processing tool in the field of natural language …
Stemming is extensively used as a pre-processing tool in the field of natural language …
Ood-speech: A large bengali speech recognition dataset for out-of-distribution benchmarking
We present OOD-Speech, the first out-of-distribution (OOD) benchmarking dataset for
Bengali automatic speech recognition (ASR). Being one of the most spoken languages …
Bengali automatic speech recognition (ASR). Being one of the most spoken languages …
Bengali common voice speech dataset for automatic speech recognition
Bengali is one of the most spoken languages in the world with over 300 million speakers
globally. Despite its popularity, research into the development of Bengali speech recognition …
globally. Despite its popularity, research into the development of Bengali speech recognition …
Unsupervised morphological parsing of Bengali
S Dasgupta, V Ng - Language Resources and Evaluation, 2006 - Springer
Unsupervised morphological analysis is the task of segmenting words into prefixes, suffixes
and stems without prior knowledge of language-specific morphotactics and morpho …
and stems without prior knowledge of language-specific morphotactics and morpho …
NERvous About My Health: Constructing a Bengali Medical Named Entity Recognition Dataset
The ability to identify important entities in a text, known as Named Entity Recognition (NER),
is useful in a large variety of downstream tasks in the biomedical domain. This is a …
is useful in a large variety of downstream tasks in the biomedical domain. This is a …
Benlem (a bengali lemmatizer) and its role in wsd
A lemmatization algorithm for Bengali has been developed and evaluated. Its effectiveness
for word sense disambiguation (WSD) is also investigated. One of the key challenges for …
for word sense disambiguation (WSD) is also investigated. One of the key challenges for …
Banlemma: A word formation dependent rule and dictionary based bangla lemmatizer
Lemmatization holds significance in both natural language processing (NLP) and linguistics,
as it effectively decreases data density and aids in comprehending contextual meaning …
as it effectively decreases data density and aids in comprehending contextual meaning …
Morphological analysis of inflecting compound words in Bangla
S Dasgupta, N Khan, AI Sarkar, DSH Pavel, M Khan - 2005 - dspace.bracu.ac.bd
The addition of inflectional suffixes in Bangla com-pound words is fairly complex. A
compound is a word that is formed by two or more different words acting as a single entity …
compound is a word that is formed by two or more different words acting as a single entity …
Towards POS tagging methods for Bengali language: a comparative analysis
Part of Speech (POS) tagging is recognized as a significant research problem in the field of
Natural Language Processing (NLP). It has considerable importance in several NLP …
Natural Language Processing (NLP). It has considerable importance in several NLP …