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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM31940
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Word wise prediction is an input technology that simplifies the process of typing by suggesting the next word for a user to select, as typing in a conversation consumes time. You might be using it daily when you write texts or emails without realizing it. Most of the keyboards in smart phones suggest next word prediction features. Google also uses next word prediction based on our browsing history. So, preloaded data is also stored in the keyboard function of our smart phones to predict the next word correctly. By predicting the next word in a sequence, the number of keystrokes of the user can be reduced. In this project, we have used a deep learning approach by using Long Short Term Memory(LSTM) technique which gives better prediction accuracy than the machine learning approach.
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Publication Date
12/31/45408
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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