Machine Learning Technique for Target-Based Sentiment Analysis
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-4687-1_16
Reference23 articles.
1. Sun B, Tian F, Liang L (2018) Tibetan micro-blog sentiment analysis based on mixed deep learning. In: 2018 international conference on audio, language and image processing (ICALIP). https://doi.org/10.1109/icalip.2018.8455328
2. Abd El-Jawad MH, Hodhod R, Omar YMK (2018) Sentiment analysis of social media networks using machine learning. In: 2018 14th international computer engineering conference (ICENCO). https://doi.org/10.1109/icenco.2018.8636124
3. Bandana R (2018) Sentiment analysis of movie reviews using heterogeneous features. In: 2018 2nd international conference on electronics, materials engineering & nano-technology (IEMENTech). https://doi.org/10.1109/iementech.2018.8465346
4. Prabha MI, Umarani Srikanth G (2019) Survey of sentiment analysis using deep learning techniques. In: 2019 1st international conference on innovations in information and communication technology (ICIICT). https://doi.org/10.1109/iciict1.2019.8741438
5. Jain K, Kaushal S (2018) A comparative study of machine learning and deep learning techniques for sentiment analysis. In: 2018 7th international conference on reliability, infocom technologies and optimization (trends and future directions) (ICRITO). https://doi.org/10.1109/icrito.2018.8748793
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1. Advancing Sentiment Analysis during the Era of Data-Driven Exploration via the Implementation of Machine Learning Principles;Balkan Journal of Electrical and Computer Engineering;2024-03-01
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