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A Survey on Sentiment Analysis

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Emerging Technologies in Data Mining and Information Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1300))

Abstract

Natural language processing (NLP) is a booming field in this era of data, where almost all businesses and organizations have access to many review sites, social media, and e-commerce websites. Recently, deep learning models have shown state-of-the-art results in NLP tasks. With the help of complex models like long-short term memory, various problems such as vanishing gradient problem have been diminished and new models like the attention model or aspect embedding increases accuracy. These made a drastic change in the field of sentiment analysis and made it more business-oriented, like most of the big business organizations, for example, Amazon and Flipkart, where it is used for analyzing details about their customer review. Some researchers have shown us a way to not even using complex models like LSTM we can do so, even better with adding gating mechanism to our well-known CNN. Watching all of these, we are going to do a brief review of many technologies discovered by many scientists across the world and focus on some of the state-of-the-art works done in the domain of sentiment analysis.

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Author information

Authors and Affiliations

  1. Techno India University, Kolkata, West Bengal, 700091, India

    Deb Prakash Chatterjee

  2. University of Engineering & Management Kolkata, Kolkata, West Bengal, 700160, India

    Anirban Mukherjee

  3. School of Management Science, Maulana Abul Kalam Azad University of Technology, Haringhata, West Bengal, 741249, India

    Sabyasachi Mukhopadhyay

  4. University of Calcutta, Technology Campus, Kolkata, West Bengal, 700106, India

    Mrityunjoy Panday

  5. Indian Institute of Science Education and Research Kolkata, Mohanpur, West Bengal, 741246, India

    Prasanta K. Panigrahi

  6. Bangabasi Morning College, Kolkata, West Bengal, 700009, India

    Saptarsi Goswami

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  1. Deb Prakash Chatterjee
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  2. Anirban Mukherjee
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  3. Sabyasachi Mukhopadhyay
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  4. Mrityunjoy Panday
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  5. Prasanta K. Panigrahi
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  6. Saptarsi Goswami
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Corresponding author

Correspondence to Mrityunjoy Panday .

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Editors and Affiliations

  1. Faculty of Computers And Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. CHRIST (Deemed to be University), Bengaluru, Karnataka, India

    Siddhartha Bhattacharyya

  3. Institute of Engineering & Management, Kolkata, West Bengal, India

    Satyajit Chakrabati

  4. Institute of Engineering & Management, Kolkata, West Bengal, India

    Abhishek Bhattacharya

  5. Institute of Engineering & Management, Kolkata, West Bengal, India

    Soumi Dutta

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Chatterjee, D.P., Mukherjee, A., Mukhopadhyay, S., Panday, M., Panigrahi, P.K., Goswami, S. (2021). A Survey on Sentiment Analysis. In: Hassanien, A.E., Bhattacharyya, S., Chakrabati, S., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1300. Springer, Singapore. https://doi.org/10.1007/978-981-33-4367-2_26

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