Multimodal hinglish tweet dataset for deep pragmatic analysis

Pratibha, A Kaur, M Khurana, R Damaševičius - Data, 2024 - mdpi.com
Wars, conflicts, and peace efforts have become inherent characteristics of regions, and
understanding the prevailing sentiments related to these issues is crucial for finding long …

Integrated BERT embeddings, BiLSTM-BiGRU and 1-D CNN model for binary sentiment classification analysis of movie reviews

B Gupta, P Prakasam, T Velmurugan - Multimedia Tools and Applications, 2022 - Springer
Now a days, understanding the review of the articles, movies are the major issue due to
different sentiment present on them. Reviews are short texts which expressing the opinion of …

Is UGC sentiment helpful for recommendation? An application of sentiment-based recommendation model

M Gao, J Wang, O Liu - Industrial Management & Data Systems, 2024 - emerald.com
Purpose Given the critical role of user-generated content (UGC) in e-commerce, exploring
various aspects of UGC can aid in understanding user purchase intention and commodity …

On the importance of pre-processing in small-scale analyses of twitter: a case study of the 2019 Indian general election

P Chauhan, N Sharma, G Sikka - Multimedia Tools and Applications, 2024 - Springer
The main purpose of this paper is to emphasize the role of data pre-processing in the
sentiment analysis of Twitter data. The paper provides detailed analysis and methods to …

Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning

Z Zhao, W Liu, K Wang - Journal of Big Data, 2023 - Springer
With the popularity of social media, opinion mining has gradually become a popular
research field. Among these fields, sentiment analysis mining is an important research …

[PDF][PDF] Effective Twitter Sentiment Analysis Using Deep Belief Network with Enhanced Dragonfly Optimization Algorithm.

G Bompem, N Chiluka, D Pandluri - International Journal of Intelligent …, 2023 - inass.org
In this research article, an effective model is implemented for predicting the outcome of the
Indian general election 2019 and farmer's protest by utilizing the sentiment analysis of …

Chinese sentiment analysis using regularized extreme learning machine and stochastic optimization

A Sun, F Wei, G Wang, Y Li - 2022 4th International …, 2022 - ieeexplore.ieee.org
In Chinese sentiment analysis, accuracy and execution speed are a comprehensive
performance evaluation of an algorithm. This paper proposes an efficient method for …

Multimodal Sentiments: Unraveling Text and Emoji Dynamics Through Deep Learning

A Kaur, M Khurana - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
The growth of the internet has made it possible for people to use text messaging programs to
communicate and share their thoughts about everyday activities as well as regional and …

An improved context-aware analysis for sentimental Grass Hopper Optimization algorithm and its post affects on Twitter

P Mudgil, P Gupta, I Mathur… - Journal of Intelligent & …, 2023 - content.iospress.com
Social media platforms, namely Instagram, Facebook, Twitter, YouTube, etc. have gained a
lot of attention as users used to share their views, and post videos, audio, and pictures for …

Sentiment Analysis Model Using Deep Learning

SS Nalawade, AG Bhosale - … on Trends in Sustainable Computing and …, 2023 - Springer
The customer's opinion about goods and services is highly valued by both customers and
producers. As a result, both industry and academia have invested a lot of time and energy …