Reference | Objective | Method used in Hybrid Approach for Opinion mining | Materials | Output |
---|---|---|---|---|
[106] | To evaluate, analyse and classify the opinions on behalf of user tweets toward smart devices | NB + SVM + lexicon dictionary | Twitter tweets | Polarity: positive or negative and emotion: anger, joy, sadness, disgust, fear and surprise |
[125] | To store, query and analyse streaming data | knowledge-based + machine-learning + 3-way classification process + SentiWordNet | Twitter dataset | Positive, negative and neutral |
[126] | To examine the sentiment expression To classify the polarity of the movie review on a scale and perform feature extraction and ranking To train multi-label classifier to classify the movie review into its correct label | RF + DT + NB + k-NN + SentiWordNet | Rotten Tomatoes movie review dataset | Positive and negative |
[127] | To provide an automatic and accurate polarity classification of Twitter messages | NB + SVM + DT (J48) + KNN + SentiWordNet | Twitter messages | Positive or negative |
[128] | To study public emotions and opinions concerning the opening of new IKEA stores | EN + LR + NB + SVM + NN + RF + English sentiment dictionary | Twitter texts, IKEA-related topics | Positive and negative |
[129] | To perform effective sentimental analysis and opinion mining of web reviews using various rule-based machine learning algorithms | DT + NB + SentiWordNet | Text reviews | Strong-positive, positive, weak-positive, neutral, weak-negative, negative and strong-negative |
[130] | To shortlist words that help in sentiment cognition | Fuzzy entropy + k-means clustering, LSTM + SentiWordNet | Movie review datasets (IMDB) | Positive or negative |
[103] | To employ an emotion detection technique for sentiment classification | NB + SVM + NNs, LogN, RF, CART + NRC emotion lexicon | Positive, negative and neutral | |
[131] | To deploy the phrase level sentiment analysis to classify online reviews into positive and negative polarities | fuzzy entropy + k-means clustering + SentiWordNet lexicon | Movie review, Pang-Lee and the IMDB dataset | Positive and negative |
[132] | To present a sentiment polarity detection approach that detects sentiment polarity of Bengali tweets | Multinomial NB + SMO(SVM)) + SentiWordNet + Indian sentiment lexicon | Bengali Tweets dataset | Positive, negative and neutral |