A comparative analysis of machine learning and deep learning techniques for aspect-based sentiment analysis

Theresa V. Cherian, Getzi Jeba Leelipushpam Paulraj, Joyce Beryl Princess and Immanuel Johnraja Jebadurai,    Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India


Natural language processing (NLP) tries to give computers human-like qualities for text and word understanding by applying artificial intelligence methods. Speech recognition, tagging, data analysis, reference resolution, and language production are just a few of the many tasks that NLP can perform. Data analysis in NLP is performed using topic analysis, time series analysis, and sentiment analysis (SA). SA is ...

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