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Sentiment Analysis using Multiple Word Embedding for Words
2020
International journal of recent technology and engineering
Nowadays users express their opinions on different websites like e-commerce and special review websites. Analyzing customers' opinions and their responses is important for decision making. So the researchers worked on analyzing these reviews automatically using a classical machine learning approach like Support Vector Machine (SVM) and various modern deep neural networks. For these networks, words are represented by using vectors called word embeddings. The required word embeddings are taken
doi:10.35940/ijrte.a2606.059120
fatcat:ckof3n2txferbjxrxysy3vom2e