Abstract
Natural Language Processing tools cannot extract the meaning of words without spaces such as Hashtags. These compound words have to be separated by putting spaces in between. In this study, we analyzed the success of Long Short- Term Memory (LSTM) which is a recurrent neural network that trained with the news corpus on the Hashtag and news dataset.
Keywords
Computer science
Natural language processing
Artificial intelligence
Meaning (existential)
Recurrent neural network
Term (time)
Natural language
Segmentation
Artificial neural network
Text segmentation
Natural (archaeology)
Speech recognition
Psychology
History
Subject Areas
Natural Language Processing Techniques
·Artificial Intelligence ·Physical Sciences
Topic Modeling
·Artificial Intelligence ·Physical Sciences
Advanced Text Analysis Techniques
·Artificial Intelligence ·Physical Sciences
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