ArticleThe Journal of supercomputing2021
A novel LSTM-CNN-grid search-based deep neural network for sentiment analysis.
Article in The Journal of supercomputing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 243 citations in OpenAlex.
- Tactile Sensor-Based Body Center of Pressure Estimation System Using Supervised Deep Learning Models.Sensors (Basel, Switzerland) · 2026Article
- A hybrid approach to Twitter sentiment analysis using integration of ESN ISPBO and BERT.Scientific reports · 2025Article
- The usage of artificial Intelligence-empowered text analysis model with convolutional neural network in english reading.Scientific reports · 2025Article
- A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm.Scientific reports · 2025Article
- The impact of climatic factors on negative sentiments: An analysis of human expressions from X platform in Germany.iScience · 2025Article
- PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN-LSTM.Diagnostics (Basel, Switzerland) · 2023Article
- Topic sentiment analysis based on deep neural network using document embedding technique.The Journal of supercomputing · 2023Article
- A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques.Artificial intelligence review · 2023Article
- Improving the Forecasting Accuracy Based on the Lunar Calendar in Modeling Rainfall Levels Using the Bi-LSTM Method through the Grid Search Approach.TheScientificWorldJournal · 2023Article
- Multichannel Two-Dimensional Convolutional Neural Network Based on Interactive Features and Group Strategy for Chinese Sentiment Analysis.Sensors (Basel, Switzerland) · 2022Article
- A deep learning approach in predicting products' sentiment ratings: a comparative analysis.The Journal of supercomputing · 2022Article
- Language interpretation in travel guidance platform: Text mining and sentiment analysis of TripAdvisor reviews.Frontiers in psychology · 2022Article
- Construction of English Translation Model Based on Neural Network Fuzzy Semantic Optimal Control.Computational intelligence and neuroscience · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the number of users getting acquainted with the Internet is escalating rapidly, there is more user-generated content on the web. Comprehending hidden opinions, sentiments, and emotions in emails, tweets, reviews, and comments is a challenge and equally crucial for social media monitoring, brand monitoring, customer services, and market research. Sentiment analysis determines the emotional tone behind a series of words may essentially be used to understand the attitude, opinions, and emotions of users. We propose a novel long short-term memory (LSTM)-convolutional neural networks (CNN)-grid search-based deep neural network model for sentiment analysis. The study considers baseline algorithms like convolutional neural networks,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.