000			02203nam a22002057a 4500
003			OSt
005			20220107122853.0
008			190710b xxu||||| |||| 00| 0 eng d
040			_cIIITMK
100			_aAgilna K C (41718001) _916148
245			_aDeep text mining
300			_aMPhil CS 2018-2019
500			_aFor decades, humans have dreamed of computers that understand natural language in the form of text or speech. The interaction between human and machine using natural languages is achieved through Natural language processing (NLP) with the help of smart assistants. Natural Language Processing and Text Mining or Text Analytics are Articial Intelligence (AI) technologies that endow users in transforming the key content in text documents into quantiable and actionable insights. Text in the documents is a rampant form of communication. The analyzing and understanding of these text includes multiple tasks which needs to instruct the computer to understand word-sense disambiguation. It addresses toilsome scaling and language challenges where traditional NLP techniques are less eective. Deep Text Mining, a deep learning-based text understanding helps to acquire this task to some extent. Deep text utilizes several deep neural network architectures like convolutional and recurrent neural networks and is able to perform word-level and character-level based learning. Deep learning uses a mathematical concept called word embeddings that preserves the semantic relationship among words. So, when represented properly, the word embedding allows capturing the in-depth semantic meaning of words. Word embedding techiques like GloVe, Word2Vec are euclidean approaches which fails to represent for hierarchical structures. So a better approach for representation of word embeddings is a requisite in the eld of text mining. This work attempts to builds a deep learning model with poincare word embeddings for the task of intent classication.
502			_bMPhil CS _c2018-2019 _dINT _eDr Asharaf S
650			_aTEXT ANALYTICS _916149
650			_aCONVOLUTIONAL NEURAL NETWORKS _916150
650			_aDEEP LEARNING _916151
650			_aNATURAL LANGUAGE PROCESSING _916152
942			_2ddc _cPR
999			_c6564 _d6564