[PDF][PDF] Voting Ensemble Model Based Malayalam-English Sentiment Analysis on Code-Mixed Data.

K Nimmi, B Janet - FIRE (Working Notes), 2021 - ceur-ws.org
The most serious issue with code-mixing is that people switch between languages (for
example, Malayalam and English) and type in English instead of writing Malayalam words …

SHLPM: Sentiment Analysis on Code-Mixed Data Using Summation of Hidden Layers of Pre-trained Model

YP Babu, R Eswari, B Vijay Raman - International Conference on …, 2022 - Springer
Code-mixing refers to the blending of languages. The most serious issue with code-mixing is
that people move between languages and type in English instead of transcribing words in …

Sentiment analysis of code-mixed indian languages: An overview of sail_code-mixed shared task@ icon-2017

BG Patra, D Das, A Das - arXiv preprint arXiv:1803.06745, 2018 - arxiv.org
Sentiment analysis is essential in many real-world applications such as stance detection,
review analysis, recommendation system, and so on. Sentiment analysis becomes more …

[PDF][PDF] An Ensemble Model for Sentiment Classification on Code-Mixed Data in Dravidian Languages.

SRM Kumar, N Reddy, A Malapati, L Kumar - FIRE (Working Notes), 2021 - easychair.org
Abstract Dravidian languages, Tamil, Kannada, Malayalam and Telugu, is spoken by over
220 million but is vastly under-resourced for natural language processing tasks. Code …

[PDF][PDF] Sentiment Classification on Bilingual Code-Mixed Texts for Dravidian Languages using Machine Learning Methods.

KB Rashmi, HS Guruprasad… - FIRE (Working Notes …, 2021 - researchgate.net
Sentiment classification is a process of detecting the polarity of emotions. With the increased
use of social media, people from all walks of life started communicating by using their local …

An analysis of machine learning models for sentiment analysis of Tamil code-mixed data

K Shanmugavadivel, SH Sampath… - Computer Speech & …, 2022 - Elsevier
Nowadays, more and more people are sharing and expressing their feelings through social
media platforms such as Twitter, Facebook and YouTube. Sentiment analysis is a process …

Code-mixed sentiment analysis using machine learning and neural network approaches

P Mishra, P Danda, P Dhakras - arXiv preprint arXiv:1808.03299, 2018 - arxiv.org
Sentiment Analysis for Indian Languages (SAIL)-Code Mixed tools contest aimed at
identifying the sentence level sentiment polarity of the code-mixed dataset of Indian …

Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task@ ICON-2017

B Gopal Patra, D Das, A Das - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
Sentiment analysis is essential in many real-world applications such as stance detection,
review analysis, recommendation system, and so on. Sentiment analysis becomes more …

Preparing bengali-english code-mixed corpus for sentiment analysis of indian languages

S Mandal, SK Mahata, D Das - arXiv preprint arXiv:1803.04000, 2018 - arxiv.org
Analysis of informative contents and sentiments of social users has been attempted quite
intensively in the recent past. Most of the systems are usable only for monolingual data and …

Code-mixed sentiment analysis using machine learning approach–a systematic literature review

C Tho, HLHS Warnars, B Soewito… - 2020 4th International …, 2020 - ieeexplore.ieee.org
Code-mixed language is ubiquitous. Having been commonly practiced among bilingual
communities, code-mixed language has emerged as a common language among social …