• SentiCon: A Concept Based Feature Set for Sentiment Analysis 

  Mitra, Satanik (IEEE, 2018)

  Selection and extraction of appropriate numerical features to do sentiment analysis on text data with greater accuracy remain an open problem. In supervised machine learning based sentiment analysis, Term Frequency- Inverse ...
• 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 (Springer, 2020-03)

  Perceived quality and value are very essential attributes in the context of brand management. These attributes are traditionally measured using primary surveys. In this work, we propose a methodology to estimate perceived ...
• Hybrid Improved Document-level Embedding (HIDE) 

  Mitra, Satanik (ARXIV, 2020-06)

  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 ...
• An Approach to Identify Provocative and Problematic Content with Social Nociceptor 

  Mitra, Satanik (ACM Digital Library, 2021-01)

  In recent times the gradual decrease in the confidence of mainstream media among the masses is observable. As per a survey, 36% of US citizens trust news organizations for delivering factually correct and straight information ...
• Helpfulness of online consumer reviews: A multi-perspective approach 

  Mitra, Satanik (Elsevier, 2021-05)

  Helpful online reviews crave the attention of many researchers as it significantly affects purchase decision. However, consumers’ perception of helpfulness remains an open problem due to a lack of semantic analysis of ...
• Experiments on Fraud Detection use case with QML and TDA Mapper 

  Mitra, Satanik (IEEE, 2021-11)

  In the era of online financial transactions, it is significant for the credit card firms to be equipped with capabilities to identify fraudulent credit card transactions. This work covers study and implementation of two ...
• Suicidal Intention Detection in Tweets Using BERT-Based Transformers 

  Mitra, Satanik (IEEE, 2022)

  Suicidal intention or ideation detection is one of the evolving research fields in social media. People use this platform to share their thoughts, tendencies, opinions, and feelings toward suicide. Therefore, this task ...
• Sarcasm Detection in News Headlines using Supervised Learning Publisher: IEEE PDF 

  Mitra, Satanik (IEEE, 2022)

  Nowadays, social media has an enormous amount of news content with a sarcastic message. It is often expressed in the form of verbal and non-verbal. In this paper, the authors aim to identify sarcasm in news headlines using ...
• OBIM: A computational model to estimate brand image from online consumer review 

  Mitra, Satanik (Elsevier, 2020-06)

  Brand image is comprehended in consumers’ mind through favourability, strength, and uniqueness of brand associations. In this paper, a model is proposed to quantify Online Brand IMage (OBIM) from consumer reviews. We ...
• Effects of adhatoda vasica leaf extract in depression co‑morbid with alloxan‑induced diabetes in mice 

  Mahesh, R. (IJGP, 2014)

  Context: Increased neuronal oxidative stress as a consequence of diabetes may result in neuropsychological complications such as depression. Depression co‑morbid with diabetes further hampers the quality life years in ...
• Ligand-Based Design, Synthesis, and Pharmacological Evaluation of 3-Methoxyquinoxalin-2-carboxamides as Structurally Novel Serotonin Type-3 Receptor Antagonists 

  Mahesh, R. (Wiley, 2012-06)

  Employing a ligand-based approach, 3-methoxyquinoxalin-2-carboxamides were designed as serotonin type-3 (5-HT3) receptor antagonists and synthesized from the starting material o-phenylenediamine in a sequence of reactions. ...
• Anxiolytic-like effect of (4-benzylpiperazin-1-yl)(3-methoxyquinoxalin-2-yl)methanone (6g) in experimental mouse models of anxiety 

  Mahesh, R. (Wolters Kluwer, 2013)

  The present study was designed to investigate the anxiolytic activity of 6g, a novel serotonin type-3 receptor (5-HT 3) receptor antagonist in experimental mouse models of anxiety.
• Piperazine Analogs of Naphthyridine‐3‐carboxamides and Indole‐2‐carboxamides: Novel 5‐HT3 Receptor Antagonists with Antidepressant‐Like Activity 

  Mahesh, R. (Wiley, 2015-01)

  Series of piperazine analogs of naphthyridine-3-carboxamides and indole-2-carboxamides were designed using a ligand-based approach with consideration of the pharmacophoric requirements for 5-HT3 receptor antagonists. The ...
• 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. (Elsevier, 2014-07)

  Stimulation of high oxidative stress in the brain is considered as an important factor for neurotoxicity towards the pathophysiology of chronic stress-induced depression disorder. In the present research, a potential 5-HT3 ...
• Novel 5-HT3 receptor antagonist QCM-4 attenuates depressive-like phenotype associated with obesity in high-fat-diet-fed mice 

  Mahesh, R. (Springer, 2017-02)

  Depression associated with obesity remains an interesting area to study the biological mechanisms and novel therapeutic intervention.
• 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. (Avoxa, 2005-06)

  A series of novel 3-[(4-substituted piperazin-1-yl)alkyl]imidazo[2,1-b][1,3]benzothiazol-2(3H)-ones were prepared by microwave irradiation using alumina as solid support and also by a conventional method. The compounds ...
• 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. (Elsevier, 2019-11)

  The cysteine protease, falcipain-2 is an important drug target in human malaria parasite Plasmodium falciparum. A new series of 2-(4-(substituted benzoyl)-1,4-diazepan-1-yl)-N-phenylacetamide derivatives 5(a–t) were designed ...
• Assessing the Neuronal Serotonergic Target-based Antidepressant Stratagem: Impact of In Vivo Interaction Studies and Knockout Models 

  Mahesh, R. (Bentham Science, 2008)

  Depression remains a challenge in the field of affective neuroscience, despite a steady research progress. Six out of nine basic antidepressant mechanisms rely on serotonin neurotransmitter system. Preclinical studies have ...
• Anti-depressant-like activity of a novel serotonin type-3 (5-HT3) receptor antagonist in rodent models of depression 

  Mahesh, R. (NISCAIR, 2011)

  N-Cyclohexyl-3-methoxyquinoxalin-2-carboxamide (QCM-13), a novel 5-HT3 antagonist identified from a series of compounds with higher pA2 (7.6) and good log P (2.91) value was screened in rodent models of depression such as ...
• Anxiolytic-like effect of etazolate, a type 4 phosphodiesterase inhibitor in experimental models of anxiety 

  Mahesh, R. (NISCAIR, 2013-06)

  Etazolate is a selective inhibitor of type 4 phosphodiesterase (PDE4) class enzyme. Antidepressant-like effect of etazolate has been previously demonstrated in the rodent models of depression. The present study was designed ...

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