NEXT WORD PREDICTION USING LSTM
Abstract
This paper presents an abstract for research on the concept of next-word prediction, which is an artificial intelligence technique for predicting the likely next word in a sequence of words. The paper first provides an overview of the concept, describing its history, current applications, and the various approaches and algorithms used in the process. Next, the paper examines the challenges and opportunities of next-word prediction, such as the need for large datasets to train the model, the accuracy of the prediction, and the potential applications of the technique. Finally, the paper concludes by discussing the potential of next-word prediction as a valuable tool for natural language processing applications.
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