Browsing Department of Management by Author "Mitra, Satanik"

Now showing items 1-9 of 9

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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...

Now showing items 1-9 of 9

Search DSpace

Advanced Search

Browse

All of DSpace
This Collection
- By Issue Date
- Authors
- Titles
- Subjects

Browsing Department of Management by Author "Mitra, Satanik"

Browsing Department of Management by Author "Mitra, Satanik"

Search DSpace

Browse

All of DSpace

This Collection

My Account