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A simple LSTM is first constructed and its performance is studied. On subsequent stages, the LSTM layer is stacked one upon another which shows an increase in accuracy. Later the LSTM layers were made bidirectional to convey data both forward and backward in the network. The authors hereby show that a layered deep LSTM with bidirectional connections has better performance in terms of accuracy compared to the simpler versions of LSTM used here.<\/jats:p>","DOI":"10.4018\/ijse.2018010103","type":"journal-article","created":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T11:49:43Z","timestamp":1530877783000},"page":"33-39","source":"Crossref","is-referenced-by-count":52,"title":["Sentiment Analysis in the Light of LSTM Recurrent Neural Networks"],"prefix":"10.4018","volume":"9","author":[{"given":"Subarno","family":"Pal","sequence":"first","affiliation":[{"name":"Academy of Technology, Hooghly, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soumadip","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Academy of Technology, Hooghly, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amitava","family":"Nag","sequence":"additional","affiliation":[{"name":"Academy of Technology, Hooghly, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2432","reference":[{"issue":"Feb","key":"IJSE.2018010103-0","first-page":"1137","article-title":"A neural probabilistic language model.","volume":"3","author":"Y.Bengio","year":"2003","journal-title":"JMLR"},{"key":"IJSE.2018010103-1","unstructured":"Chollet, F. 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