A journey of Indian languages over sentiment analysis: a systematic review
In recent years, due to the availability of voluminous data on web for Indian languages, it has
become an important task to analyze this data to retrieve useful information. Because of the …
become an important task to analyze this data to retrieve useful information. Because of the …
Sentiment analysis on indian indigenous languages: a review on multilingual opinion mining
SR Shah, A Kaushik - arXiv preprint arXiv:1911.12848, 2019 - arxiv.org
An increase in the use of smartphones has laid to the use of the internet and social media
platforms. The most commonly used social media platforms are Twitter, Facebook …
platforms. The most commonly used social media platforms are Twitter, Facebook …
Sentiment analysis of Marathi news using LSTM
MS Divate - International journal of Information technology, 2021 - Springer
Sentiment analysis of online contents related to e-news, product, services etc., become very
important in this digital era in order to improve the quality of the service provided. The …
important in this digital era in order to improve the quality of the service provided. The …
[PDF][PDF] Sentiment analysis on film review in Gujarati language using machine learning
Opinion analysis is by a long shot most basic zone of characteristic language handling. It
manages the portrayal of information to choose the motivation behind the wellspring of the …
manages the portrayal of information to choose the motivation behind the wellspring of the …
Effective method for sentiment lexical dictionary enrichment based on Word2Vec for sentiment analysis
Recently, many researchers have shown interest in using lexical dictionary for sentiment
analysis. The SentiWordNet is the most used sentiment lexical to determine the polarity of …
analysis. The SentiWordNet is the most used sentiment lexical to determine the polarity of …
Opinion-mining on marglish and devanagari comments of youtube cookery channels using parametric and non-parametric learning models
YouTube is a boon, and through it people can educate, entertain, and express themselves
about various topics. YouTube India currently has millions of active users. As there are …
about various topics. YouTube India currently has millions of active users. As there are …
Sentiment analysis of Indian languages using convolutional neural networks
K Shalini, A Ravikurnar, A Reddy… - … and Informatics (ICCCI …, 2018 - ieeexplore.ieee.org
Social media has become an important part of human life; not only has it become a platform
for people to interact with each other, it has become the news portal, a stage for people to …
for people to interact with each other, it has become the news portal, a stage for people to …
A hybrid learning approach for sentiment classification in Telugu language
S Tammina - … Conference on Artificial Intelligence and Signal …, 2020 - ieeexplore.ieee.org
Sentiment or Opinion Analysis is a subset of Natural Language Processing which is
employed in wide range of business verticals to disentangle, analyze, distinguish and …
employed in wide range of business verticals to disentangle, analyze, distinguish and …
Evaluating the impact of feature selection on overall performance of sentiment analysis
Now a days the importance of analyzing the hidden sentiments from user reviews playing a
prominent role towards increasing profitability in any organization. To address the …
prominent role towards increasing profitability in any organization. To address the …
Bcsat: A benchmark corpus for sentiment analysis in telugu using word-level annotations
The presented work aims at generating a systematically annotated corpus that can support
the enhancement of sentiment analysis tasks in Telugu using word-level sentiment …
the enhancement of sentiment analysis tasks in Telugu using word-level sentiment …