An improved deep learning-based approach for sentiment mining
The sentiment mining approaches can typically be divided into lexicon and machine learning approaches. Recently there are an increasing number of approaches which combine both to improve the performance when used separately. However, this still lacks contextual understanding which led to the introdu...
| Main Authors: | Mohd Sharef, Nurfadhlina, Shafazand, Mohammad Yaser |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2014
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/56111/ http://psasir.upm.edu.my/id/eprint/56111/1/An%20improved%20deep%20learning-based%20approach%20for%20sentiment%20mining.pdf |
Similar Items
Overview and future opportunities of sentiment analysis approaches for big data
by: Mohd Sharef, Nurfadhlina, et al.
Published: (2016)
by: Mohd Sharef, Nurfadhlina, et al.
Published: (2016)
Sarcastic tweets detection based on sentiment hashtags analysis
by: Nadali, Samaneh, et al.
Published: (2018)
by: Nadali, Samaneh, et al.
Published: (2018)
Multimodal Sentiment Analysis Of Social Media Through Deep Learning Approach
by: An, Jieyu
Published: (2024)
by: An, Jieyu
Published: (2024)
Improving sentiment classification accuracy of financial news using n-gram approach and feature weighting methods
by: Yazdani, Sepideh Foroozan, et al.
Published: (2015)
by: Yazdani, Sepideh Foroozan, et al.
Published: (2015)
Flock optimization algorithm-based deep learning model for diabetic disease detection improvement
by: Balasubramaniyan, Divager, et al.
Published: (2024)
by: Balasubramaniyan, Divager, et al.
Published: (2024)
Multitasking learning model based on hierarchical attention network for Arabic sentiment analysis classification
by: Alali, Muath, et al.
Published: (2021)
by: Alali, Muath, et al.
Published: (2021)
Flock optimization induced deep learning for improved diabetes disease classification
by: Balasubramaniyan, Divager, et al.
Published: (2023)
by: Balasubramaniyan, Divager, et al.
Published: (2023)
"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"
by: Islam, Md Shofiqul, et al.
Published: (2024)
by: Islam, Md Shofiqul, et al.
Published: (2024)
CPU availability predictor and machine recommender for a desktop grid
by: Shafazand, Mohammad Yaser
Published: (2014)
by: Shafazand, Mohammad Yaser
Published: (2014)
Aspect extraction performance with POS tag pattern of dependency relation in aspect-based sentiment analysis
by: Shafie, Ana Salwa, et al.
Published: (2018)
by: Shafie, Ana Salwa, et al.
Published: (2018)
Kansei design customization based on personality modelling
by: Yahya, Zahrah, et al.
Published: (2018)
by: Yahya, Zahrah, et al.
Published: (2018)
Aspect-based sentiment analysis as fine-grained opinion mining
by: Diaz, Gerardo Ocampo, et al.
Published: (2020)
by: Diaz, Gerardo Ocampo, et al.
Published: (2020)
Sentiment Analysis on COVID-19 Vaccine Tweets using Machine Learning and Deep Learning Algorithms
by: Tarun Jain, Tarun Jain, et al.
Published: (2023)
by: Tarun Jain, Tarun Jain, et al.
Published: (2023)
Deep learning model for opinion mining
by: Lee, Hao Jie
Published: (2022)
by: Lee, Hao Jie
Published: (2022)
Term weighting scheme effect in sentiment analysis of online movie reviews
by: Mat Zin, Harnani, et al.
Published: (2018)
by: Mat Zin, Harnani, et al.
Published: (2018)
Optimizing sentiment analysis of Indonesian texts: Enhancing deep learning models with genetic algorithm-based feature selection
by: Siti, Mujilahwati, et al.
Published: (2024)
by: Siti, Mujilahwati, et al.
Published: (2024)
A review on recent advances in deep learning for sentiment analysis: Performances, challenges and limitations
by: Islam, Md Shofiqul, et al.
Published: (2020)
by: Islam, Md Shofiqul, et al.
Published: (2020)
Sentiment classification of financial news using statistical features
by: Yazdani, Sepideh Foroozan, et al.
Published: (2017)
by: Yazdani, Sepideh Foroozan, et al.
Published: (2017)
Conceptually related lexicon clustering based on word context association mining.
by: Mohd Sharef, Nurfadhlina, et al.
Published: (2013)
by: Mohd Sharef, Nurfadhlina, et al.
Published: (2013)
Multitasking deep neural network models for Arabic dialect sentiment analysis
by: Alali, Muath Mohammad Oqlah
Published: (2022)
by: Alali, Muath Mohammad Oqlah
Published: (2022)
Multiobjective deep reinforcement learning for recommendation systems
by: Ee, Yeo Keat, et al.
Published: (2022)
by: Ee, Yeo Keat, et al.
Published: (2022)
Twitter Sentiment Mining: A Multi Domain Analysis
by: Shahheidari, S., et al.
Published: (2013)
by: Shahheidari, S., et al.
Published: (2013)
Multi-objective deep reinforcement learning for recommendation systems
by: Keat, Ee Yeo, et al.
Published: (2022)
by: Keat, Ee Yeo, et al.
Published: (2022)
Improving robotic grasping system using deep learning approach
by: Mohannad K. H., Farag
Published: (2020)
by: Mohannad K. H., Farag
Published: (2020)
Forecasting news sentiment-oriented stock market based on sequential transfer learning approach
by: Bea, Khean Thye
Published: (2023)
by: Bea, Khean Thye
Published: (2023)
Sentiment Analysis in Arabic Social Media Using Association Rule Mining
by: Ahmed, AL-Saffar, et al.
Published: (2016)
by: Ahmed, AL-Saffar, et al.
Published: (2016)
A review of opinion mining and sentiment classification framework in social networks
by: Lo, Yee, et al.
Published: (2009)
by: Lo, Yee, et al.
Published: (2009)
An Agent-Based System with Personalization and Intelligent Assistance Services for Facilitating Knowledge Sharing
by: Mohd Sharef, Nurfadhlina
Published: (2006)
by: Mohd Sharef, Nurfadhlina
Published: (2006)
A coherent knowledge-driven deep learning model for idiomatic - aware sentiment analysis of unstructured text using Bert transformer
by: Bashar M. A., Tahayna
Published: (2023)
by: Bashar M. A., Tahayna
Published: (2023)
A sentiment based approach to pattern discovery and classification in social media
by: Nguyen, Thin K.
Published: (2012)
by: Nguyen, Thin K.
Published: (2012)
Review on Natural Language Processing (NLP) and its toolkits for opinion mining and sentiment analysis
by: Solangi, Yasir Ali, et al.
Published: (2019)
by: Solangi, Yasir Ali, et al.
Published: (2019)
Sentiment mining using immune network algorithm /Raja Muhammad Hafiz Raja Kamarudin
by: Raja Kamarudin, Raja Muhammad Hafiz
Published: (2012)
by: Raja Kamarudin, Raja Muhammad Hafiz
Published: (2012)
A systematic review of machine learning and deep learning techniques for anomaly detection in data mining
by: Tahir, Mahjabeen, et al.
Published: (2025)
by: Tahir, Mahjabeen, et al.
Published: (2025)
Exploring COVID-19 vaccine sentiment: a Twitter-based analysis of text processing and machine learning approaches
by: Khalaf, Ban Safir, et al.
Published: (2024)
by: Khalaf, Ban Safir, et al.
Published: (2024)
ReSTiNet : An eļ¬cient deep learning approach to improve human detection accuracy
by: Sumit, Shahriar Shakir, et al.
Published: (2023)
by: Sumit, Shahriar Shakir, et al.
Published: (2023)
ReSTiNet: An efficient deep learning approach to improve human detection accuracy
by: Shahriar Shakir, Sumi, et al.
Published: (2023)
by: Shahriar Shakir, Sumi, et al.
Published: (2023)
Quantitative risk-based approach for improving water quality management in mining
by: Liu, W., et al.
Published: (2011)
by: Liu, W., et al.
Published: (2011)
Pill Recognition via Deep Learning Approaches
by: Mohd Rais Hakim, Ramlee, et al.
Published: (2024)
by: Mohd Rais Hakim, Ramlee, et al.
Published: (2024)
Sentiment analysis : an enhancement of ontological-based using hybrid machine learning techniques
by: Muhammad Iqbal Abu Latiffi,, et al.
Published: (2018)
by: Muhammad Iqbal Abu Latiffi,, et al.
Published: (2018)
Learning approaches in accounting education: towards deep learning
by: Lau, Yeng Wai, et al.
Published: (2015)
by: Lau, Yeng Wai, et al.
Published: (2015)
Similar Items
-
Overview and future opportunities of sentiment analysis approaches for big data
by: Mohd Sharef, Nurfadhlina, et al.
Published: (2016) -
Sarcastic tweets detection based on sentiment hashtags analysis
by: Nadali, Samaneh, et al.
Published: (2018) -
Multimodal Sentiment Analysis Of Social Media Through Deep Learning Approach
by: An, Jieyu
Published: (2024) -
Improving sentiment classification accuracy of financial news using n-gram approach and feature weighting methods
by: Yazdani, Sepideh Foroozan, et al.
Published: (2015) -
Flock optimization algorithm-based deep learning model for diabetic disease detection improvement
by: Balasubramaniyan, Divager, et al.
Published: (2024)