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Issue Date	Title	Author(s)
2018	SentiCon: A Concept Based Feature Set for Sentiment Analysis	Mitra, Satanik
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
2021-01	An Approach to Identify Provocative and Problematic Content with Social Nociceptor	Mitra, Satanik
2021-05	Helpfulness of online consumer reviews: A multi-perspective approach	Mitra, Satanik
2021-11	Experiments on Fraud Detection use case with QML and TDA Mapper	Mitra, Satanik
2022	Suicidal Intention Detection in Tweets Using BERT-Based Transformers	Mitra, Satanik
2022	Sarcasm Detection in News Headlines using Supervised Learning Publisher: IEEE PDF	Mitra, Satanik
2020-06	OBIM: A computational model to estimate brand image from online consumer review	Mitra, Satanik
2014	Effects of adhatoda vasica leaf extract in depression co‑morbid with alloxan‑induced diabetes in mice	Mahesh, R.
2012-06	Ligand-Based Design, Synthesis, and Pharmacological Evaluation of 3-Methoxyquinoxalin-2-carboxamides as Structurally Novel Serotonin Type-3 Receptor Antagonists	Mahesh, R.
2013	Anxiolytic-like effect of (4-benzylpiperazin-1-yl)(3-methoxyquinoxalin-2-yl)methanone (6g) in experimental mouse models of anxiety	Mahesh, R.
2015-01	Piperazine Analogs of Naphthyridine‐3‐carboxamides and Indole‐2‐carboxamides: Novel 5‐HT3 Receptor Antagonists with Antidepressant‐Like Activity	Mahesh, R.
2014-07	Protective effects of a novel 5-HT3 receptor antagonist, N-n-butyl-3-methoxy quinoxaline-2-carboxamide (6o) against chronic unpredictable mild stress-induced behavioral changes and biochemical alterations	Mahesh, R.
2017-02	Novel 5-HT3 receptor antagonist QCM-4 attenuates depressive-like phenotype associated with obesity in high-fat-diet-fed mice	Mahesh, R.
2005-06	Microwave-assisted solvent-free synthesis of 3-[(4-substituted piperazin-1-yl)alkyl] imidazo[2,1-b][1,3]benzothiazol-2(3H)-ones as serotonin3 (5-HT3) receptor antagonists	Mahesh, R.
2019-11	Design, synthesis and evaluation of 2-(4-(substituted benzoyl)-1,4-diazepan-1-yl)-N-phenylacetamide derivatives as a new class of falcipain-2 inhibitors	Mahesh, R.
2008	Assessing the Neuronal Serotonergic Target-based Antidepressant Stratagem: Impact of In Vivo Interaction Studies and Knockout Models	Mahesh, R.
2011	Anti-depressant-like activity of a novel serotonin type-3 (5-HT3) receptor antagonist in rodent models of depression	Mahesh, R.
2013-06	Anxiolytic-like effect of etazolate, a type 4 phosphodiesterase inhibitor in experimental models of anxiety	Mahesh, R.