[PDF][PDF] Enhanced long short-term memory (ELSTM) model for sentiment analysis.

D Tiwari, B Nagpal - Int. Arab J. Inf. Technol., 2021 - ccis2k.org
Sentiment analysis is used to embed an extensive collection of reviews and predicts
people's opinion towards a particular topic, which is helpful for decision-makers. Machine …

An efficient sentiment analysis methodology based on long short-term memory networks

J Shobana, M Murali - Complex & Intelligent Systems, 2021 - Springer
Sentiment analysis is the process of determining the sentiment polarity (positivity, neutrality
or negativity) of the text. As online markets have become more popular over the past …

An Effective Framework for Sentiment Analysis Using RNN and LSTM-Based Deep Learning Approaches

BK Shrivash, DK Verma, P Pandey - … on Advances in Computing and Data …, 2023 - Springer
Sentiment Analysis (SA) is an active research field in modern times by studying people's
sentiments posted on different web platforms over the internet. To study these sentiments …

Improving sentiment analysis using hybrid deep learning model

AC Pandey, DS Rajpoot - Recent Advances in Computer …, 2020 - ingentaconnect.com
Background: Sentiment analysis is a contextual mining of text which determines viewpoint of
users with respect to some sentimental topics commonly present at social networking …

[PDF][PDF] Performance evaluation and comparison using deep learning techniques in sentiment analysis

AP Pandian - Journal of Soft Computing Paradigm (JSCP), 2021 - scholar.archive.org
One of the most common applications of deep learning algorithms is sentiment analysis.
This study delivers a better performing and efficient automated feature extraction technique …

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 …

Empirical evaluation of deep learning models for sentiment analysis

AR Pathak, M Pandey, S Rautaray - Journal of Statistics and …, 2019 - Taylor & Francis
The availability of computing resources and generation of large scale data emanating from
Artificial Intelligence, Internet of Things and social media platforms have resulted into …

A combined deep learning model for Persian sentiment analysis

ZB Nezhad, MA Deihimi - IIUM Engineering Journal, 2019 - journals.iium.edu.my
With increasing members in social media sites today, people tend to share their views about
everything online. It is a convenient way to convey their messages to end users on a specific …

Sentiment Analysis using Hybrid Model of Stacked Auto-Encoder based Feature Extraction and Long Short Term Memory based Classification Approach

I Kanwal, F Wahid, S Ali, A Alkhayyat… - IEEE Access, 2023 - ieeexplore.ieee.org
Customer reviews about a brand or product, movie reviews, and social media reviews can
be analyzed through sentiment analysis. Sentiment analysis is used to identify the emotional …

Sentiment analysis using deep learning–a survey

S Sukheja, S Chopra… - … Conference on Computer …, 2020 - ieeexplore.ieee.org
Opinion Mining and Sentiment analysis on textual data are widely carried out. The main
aspect is what techniques we use to accentuate the performance of these models. In this …