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Issue Date	Title	Author(s)
2020-01	Graphical Flow-based Spark Programming	Mahapatra, Tanmaya
2020-07	Enabling Agile Clinical and Translational Data Warehousing: Platform Development and Evaluation	Mahapatra, Tanmaya
2020-03	In recent times, word embeddings are taking a significant role in sentiment analysis. As the generation of word embeddings needs huge corpora, many applications use pretrained embeddings. In spite of the success, word embeddings suffers from certain drawbacks such as it does not capture sentiment information of a word, contextual information in terms of parts of speech tags and domain-specific information. In this work we propose HIDE a Hybrid Improved Document level Embedding which incorporates domain information, parts of speech information and sentiment information into existing word embeddings such as GloVe and Word2Vec. It combine improved word embeddings into document level embeddings. Further, Latent Semantic Analysis (LSA) has been used to represent documents as a vectors. HIDE is generated, combining LSA and document level embeddings, which is computed from improved word embeddings. We test HIDE with six different datasets and shown considerable improvement over the accuracy of existing pretrained word vectors such as GloVe and Word2Vec. We further compare our work with two existing document level sentiment analysis approaches. HIDE performs better than existing systems	Mitra, Satanik
2020-06	Hybrid Improved Document-level Embedding (HIDE)	Mitra, Satanik
2020-10	Structural and Electrical Transport Investigations on Mg(ClO4)2-PEO-PEG Solid Polymer Electrolyte Prepared by Hot Press Assisted Route	Dalvi, Anshuman
2020-05	Survival of current in a periodically driven hard-core bosonic system	Bandyopadhyay, Jayendra N.
2020-10	Fabrication, Structural, Electrical, and Optical Characterizations of p-Nanoparticle- and n-Nanotube-Based ZnO Homojunction	Manjuladevi, V.; Gupta, Raj Kumar
2020-09	Melting of DNA in confined geometries	Singh, Navin
2020	Application of the Density Matrix Formalism for Obtaining the Channel Density of a Dual Gate Nanoscale Ultra-Thin MOSFET and its Comparison with the Semi-Classical Approach	Sarkar, Niladri
2020-10	Exploiting hyperbolic metamaterial as a substrate for graphene surface plasmonic Cherenkov THz radiation source	Sarkar, Niladri