A review of natural language processing techniques for opinion mining systems

By Shiliang Sun, Chen Luo, Junyu Chen. Information Fusion, 2017

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Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce (2018, background): “This scenario has led to the development of custom paradigms for distributed processing that are able to extract significant value and insight in different areas such as Bioinformatics [32], health care [33], social mining [34,35], and so on.”
A survey on classification techniques for opinion mining and sentiment analysis (2017, background): “Several recent surveys and reviews on sentiment analysis consider these levels of opinion mining from this point of view (Medhat et al. 2014; Ravi and Ravi 2015; Balazs and Velasquez 2016; Yan et al. 2017; Sun et al. 2017; Lo et al. 2017).”
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study (2020, background): “language processing (NLP) [6–8], and other fields [9, 10].”
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey (2017, background): “between people in online communities, As well as extracting useful patterns and understandable from their interactions in addition to what they share on social media websites such as twiiter facebook [2, 3]. Topic models are prominent for demonstrating discrete data; also, give a productive approach”