A new technique for sentiment analysis system based on deep learning using Chi-Square feature selection methods

M Hussein, F Özyurt - Balkan Journal of Electrical and Computer …, 2021 - dergipark.org.tr
The sentiment analysis system uses natural language processing techniques and a
sentimental vocabulary network. Sentiment analysis means discovering and recognizing …

A hybrid convolutional long short-term memory (CNN-LSTM) based natural language processing (NLP) model for sentiment analysis of customer product reviews in …

MR Purba, M Akter, R Ferdows… - Journal of Discrete …, 2022 - Taylor & Francis
Sentiment Analysis (SA) examines how people feel about products, services, people,
organizations, events etc. Most of the Natural language processing on SA research has …

Sentiment analysis of fast food companies with deep learning models

G Abdalla, F Özyurt - The Computer Journal, 2021 - academic.oup.com
In the modern era, Internet usage has become a basic necessity in the lives of people.
Nowadays, people can perform online shopping and check the customer's views about …

Sentiment analysis using bidirectional LSTM network

UB Mahadevaswamy, P Swathi - Procedia Computer Science, 2023 - Elsevier
Sentiment analysis is a cognitive tool to extract the emotional tone of a piece of text. It is an
area of research that is actively pursued in Natural Language Processing. Social media …

Sentiment analysis for user reviews using Bi-LSTM self-attention based CNN model

P Bhuvaneshwari, AN Rao, YH Robinson… - Multimedia Tools and …, 2022 - Springer
In this digital era, people are increasingly sharing their opinions in online review sites, and
vast amounts of customer feedback are generated daily. Many customers make use of these …

Sentiment analysis by using supervised machine learning and deep learning approaches

S Naeem, D Logofătu, F Muharemi - Advances in Computational …, 2020 - Springer
With the growth of online review sites, we can use the opportunity to find out what other
people think. Sentiment analysis is a popular text classification task in the data mining …

[HTML][HTML] Developing Turkish sentiment analysis models using machine learning and e-commerce data

M Demircan, A Seller, F Abut, MF Akay - International Journal of Cognitive …, 2021 - Elsevier
With the increment of Internet usage, there has been a significant increase in the access and
interaction of users in social media, blogs, forums, and criticism sites recently. With social …

A framework for sentiment analysis in customer product reviews using machine learning

KB Rekha, NC Gowda - 2020 International conference on smart …, 2020 - ieeexplore.ieee.org
Perceiving and Analysis of textual information created from different online life stages have
gotten one of the most necessities in the present Big Data period. The consequence of such …

[PDF][PDF] A hybrid model using MaLSTM based on recurrent neural networks with support vector machines for sentiment analysis

H Srinidhi, GM Siddesh, KG Srinivasa - Engineering and Applied …, 2020 - thaiscience.info
Sentiment analysis is an ongoing research area in the field of data science. It helps in
gathering insights into the behaviors of the users and the products associated with them …

[PDF][PDF] Transformer based contextual model for sentiment analysis of customer reviews: A fine-tuned bert

AK Durairaj, A Chinnalagu - International Journal of Advanced …, 2021 - academia.edu
Transformers (BERT) is a state-of-the-art language model used for multiple natural language
processing tasks and sequential modeling applications. The accuracy of predictions from …