A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis
There is an exponential growth in textual content generation every day in today's world. In-
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …
A hybrid method for recommendation systems based on tourism with an evolutionary algorithm and topsis model
S Forouzandeh, M Rostami… - Fuzzy Information and …, 2022 - Taylor & Francis
Recommender systems have been pervasively applied as a technique of suggesting travel
recommendations to tourists. Actually, recommendation systems significantly contribute to …
recommendations to tourists. Actually, recommendation systems significantly contribute to …
SARWAS: Deep ensemble learning techniques for sentiment based recommendation system
Identifying user preferences is a complex operation, which makes its automa-tion
challenging, and existing recommendation systems that rely on one of the parameters …
challenging, and existing recommendation systems that rely on one of the parameters …
A WeChat official account reading quantity prediction model based on text and image feature extraction
Z Bai, S Ma, G Li - IEEE Access, 2022 - ieeexplore.ieee.org
This paper describes a study that built a neural network prediction model based on feature
extraction, focusing on text analysis and image analysis of WeChat official accounts reading …
extraction, focusing on text analysis and image analysis of WeChat official accounts reading …
HAS: Hybrid Analysis of Sentiments for the perspective of customer review summarization
The reviews posted online by the end-users can help the business owners obtain a fair
evaluation of their products/services and take the necessary steps. However, due to the …
evaluation of their products/services and take the necessary steps. However, due to the …
[PDF][PDF] Automatic customer review summarization using deep learning-based hybrid sentiment analysis.
G Kaur, A Sharma - International Journal of Electrical & Computer …, 2024 - researchgate.net
Customer review summarization (CRS) offers business owners summarized customer
feedback. The functionality of CRS mainly depends on the sentiment analysis (SA) model; …
feedback. The functionality of CRS mainly depends on the sentiment analysis (SA) model; …
Hybrid Machine Learning Method for Sentiment Analysis
Sentiment Analysis classifies the sentiments that are represented in the text data and the
sentiments categorized as negative or positive. This research work introduces a hybrid …
sentiments categorized as negative or positive. This research work introduces a hybrid …
A review of extracting and mining user interest from social media based on personality
MM Alrehili, WMS Yafooz - 2021 3rd International Youth …, 2021 - ieeexplore.ieee.org
Social platforms such as Facebook, Twitter, Instagram, and YouTube have escalated the
content published over the internet by the users. Such platforms are considered salient …
content published over the internet by the users. Such platforms are considered salient …
Comparison of Different Machine Learning Algorithms for Sentiment Analysis
There is an exponential growth in textual content generation every day in today's world. In-
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …
Intelligence system for sentiment classification with deep topic embedding using N-gram based topic modeling
ES Smitha, S Sendhilkumar… - Journal of Intelligent & …, 2023 - content.iospress.com
Multi-modal information outbreak is consistently increasing in social media. Classification of
tweet sentiments using various information modalities will help the recommender systems to …
tweet sentiments using various information modalities will help the recommender systems to …