most citedCUDA-Self-Organizing feature map based visual sentiment analysis of bank customer complaints for Analytical CRM

6 citations · 12 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CL2020

A Novel BGCapsule Network for Text Classification

Akhilesh Kumar Gangwar, Vadlamani Ravi

Several text classification tasks such as sentiment analysis, news categorization, multi-label classification and opinion classification are challenging problems even for modern de…

cs.CL20204 cited

Article citation study: Context enhanced citation sentiment detection

Vishal Vyas, Kumar Ravi, Vadlamani Ravi +3

Citation sentimet analysis is one of the little studied tasks for scientometric analysis. For citation analysis, we developed eight datasets comprising citation sentences, which ar…

cs.NE20201 cited

Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks

Shaik Tanveer ul Huq, Vadlamani Ravi, Kalyanmoy Deb

Most optimization-based community detection approaches formulate the problem in a single or bi-objective framework. In this paper, we propose two variants of a three-objective form…

q-fin.GN2020

Optimizing the reliability of a bank with Logistic Regression and Particle Swarm Optimization

Vadlamani Ravi, Vadlamani Madhav

It is well-known that disciplines such as mechanical engineering, electrical engineering, civil engineering, aerospace engineering, chemical engineering and software engineering wi…

cs.NE2020

Evolutionary Multi-Objective Optimization Framework for Mining Association Rules

Shaik Tanveer Ul Huq, Vadlamani Ravi

In this paper, two multi-objective optimization frameworks in two variants (i.e., NSGA-III-ARM-V1, NSGA-III-ARM-V2; and MOEAD-ARM-V1, MOEAD-ARM-V2) are proposed to find association…

q-fin.ST2019

Predicting Indian stock market using the psycho-linguistic features of financial news

B. Shravan Kumar, Vadlamani Ravi, Rishabh Miglani

Financial forecasting using news articles is an emerging field. In this paper, we proposed hybrid intelligent models for stock market prediction using the psycholinguistic variable…