A Survey on the application of Data Science And Analytics in the field of Organised Sports

no code implementations • 15 Sep 2022 • Sachin Kumar S, Prithvi HV, C Nandini

We will present the analytical tools, algorithms, and methodologies adopted in the field of Sports Analytics for different sports and also present our views on the same and we will also compare and contrast these existing approaches.

Marketing Sports Analytics

Data Science Approach to predict the winning Fantasy Cricket Team Dream 11 Fantasy Sports

no code implementations • 15 Sep 2022 • Sachin Kumar S, Prithvi HV, C Nandini

We built a predictive model that predicts the performance of players in a prospective game.

Decision Making

Offensive Language Detection: A Comparative Analysis

no code implementations • 9 Jan 2020 • Vyshnav M T, Sachin Kumar S, Soman K. P

The current work focuses on detecting offensive language in English tweets.

Sentence

deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets

no code implementations • WS 2017 • Vinayakumar R, Premjith B, Sachin Kumar S, Soman Kp, Poornach, Prabaharan ran

The goal of the task is to predict a real valued score in the range [0-1] for a particular tweet with an emotion type.

Emotion Classification Natural Language Inference +1

Salient Region Detection and Segmentation in Images using Dynamic Mode Decomposition

no code implementations • 11 Jul 2016 • Sikha O K, Sachin Kumar S, K. P. Soman

Visual Saliency is the capability of vision system to select distinctive parts of scene and reduce the amount of visual data that need to be processed.

Saliency Prediction