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Found 10 papers, 3 papers with code
A Hybrid Approach of Opinion Mining and Comparative Linguistic Analysis of Restaurant Reviews
The existing research on sentiment analysis mainly utilized data curated in limited geographical regions and demography (e. g., USA, UK, China) due to commercial interest and availability of review data.
A Lexicon for Profane and Obscene Text Identification in Bengali
The developed lexicon achieves coverage of around 0. 85 for obscene and profane content detection in an evaluation dataset.
Cross-lingual sentiment classification in low-resource Bengali language
To address the lack of standard text-processing tools in Bengali, we leverage resources from English utilizing machine translation.
Abusive content detection in transliterated Bengali-English social media corpus
The ubiquity of transliterated Bengali comments in social media makes the task even more involved as monolingual approaches cannot capture them.
BanglaBioMed: A Biomedical Named-Entity Annotated Corpus for Bangla (Bengali)
Recognizing biomedical entities in the text has significance in biomedical and health science research, as it benefits myriad downstream tasks, including entity linking, relation extraction, or entity resolution.
An Annotated Dataset and Automatic Approaches for Discourse Mode Identification in Low-resource Bengali Language
In this study, we introduce a discourse mode annotated corpus for the low-resource Bangla (also referred to as Bengali) language.
Tracing and segmentation of molecular patterns in 3-dimensional cryo-et/em density maps through algorithmic image processing and deep learning-based techniques
Understanding the structures of biological macromolecules is highly important as they are closely associated with cellular functionalities.
Comprehending Lexical and Affective Ontologies in the Demographically Diverse Spatial Social Media Discourse
This study aims to comprehend linguistic and socio-demographic features, encompassing English language styles, conveyed sentiments, and lexical diversity within spatial online social media review data.
What factors influence the popularity of user-generated text in the creative domain? A case study of book reviews
Furthermore, the poor performance of machine learning classifiers using the word n-gram feature highlights the challenges associated with determining popularity in creative domains.
Enhancing Efficiency and Privacy in Memory-Based Malware Classification through Feature Selection
Results demonstrate that the feature selection strategy, incorporating mutual information and other methods, enhances classifier performance for all tasks.
