Inferring Sentiments from Supervised Classification of Text and Speech cues using Fuzzy Rules

Study on sentiment classification strategies based on the fuzzy logic with crow search algorithm

“…That system can process doubt or ambiguity in a remarkably productive way because of the presence of interference. The writers of ( [12]) .applied the concept of fuzzy rules to reduce their four fuzzy rules to assess the sentiment of reviews. The highlights of their work are as follows.…”

“…μS∶X → [0,1] de ines the membership function (MF) for a fuzzy set S on the universe of discourse X, and each element of X is mapped between the 0 and 1 value. The triangular function equation defined by an upper limit f, an intermediate value e, and a lower limit d, where d < e < f, as equation1( [12]):…”

Urdu Sentiment Analysis via Multimodal Data Mining Based on Deep Learning Algorithms

“…They added a hyperbolic output layer to existing state-of-the-art models and found that it has the potential to improve the modal's prediction accuracy. Vashishtha et al [27] developed a supervised fuzzy rule-based system for multimodal sentiment classification. Their proposed technique achieved a level of accuracy of approximately 82.5 percent.…”

Neuro-fuzzy network incorporating multiple lexicons for social sentiment analysis

“…The major challenge is to extract information from unstructured data. Most methodologies in this area focus on polarity or opinion classification into positive or negative classes (Siddiqua et al 2016 ; Vashishtha and Susan 2020b ; Jefferson et al 2017 ; Vashishtha and Susan 2020a , b ); some researchers also include a neutral class (Parveen and Pandey 2016 ; Anagha et al 2015 ; Indhuja and Reghu 2014 ; Vashishtha and Susan 2018 , 2019a ). Others detect neutral opinions and filter out them to enhance binary polarity classification (Valdivia et al 2017 , 2018 ).…”

“…In the field of social media SA, there is also a shift toward multimodal social web, where users post their opinion in the form of text in Facebook and Twitter, audio or video clips in YouTube. The social media reviews are either classified using only fuzzy logic-based text classification (Wu et al 2017 ) or can be classified by multimodal sentiment classification using a fusion of fuzzy logic with audio and text features (Vashishtha and Susan 2020a ). Sentiment classification can be deployed using rule-based systems, a special type of expert system which uses a set of pre-defined rules for the classification task.…”