Sentiment Analysis of Urdu Language on different Social Media Platforms using Word2vec and LSTM
Sajadul Hassan Kumhar, Mudasir Manzoor Kirmani, Jitendra Sheetlani, Mudasir Hassan · Turkish Journal of Computer and Mathematics Education (TURCOMAT) · 2020
Sentiment analysis is the process to analyze the opinions, emotions or sentiments regarding areview, comment, organization, firms or some event etc. with the introduction of social mediapeople tend to share their sentiments, opinions, emotions and ideas through them. Urdu which isa dominant language in Indian sub-content. Most of people tend to share their sentiments usingUrdu as one of main language on these social media sites. In this paper the Urdu text availableon different social media platformswill be distributed into their vector forms by using theWord2vec model and Long Short-Term Memory Units will be utilized for text classification andSoftMaxfunction will be used as an activation function in LSTM. This SoftMax function hasbeen used for creating sentence polarity of positive, negative or neutral attribute. In this researchwork the whole process has been used with recurrent Neural network.