TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier

2017-08-01SEMEVAL 2017Unverified0· sign in to hype

Naveen Kumar Laskari, Suresh Kumar Sanampudi

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Abstract

This paper describes the TWINA system, with which we participated in SemEval-2017 Task 4B (Topic Based Message Polarity Classification -- Two point scale) and 4D (two-point scale Tweet quantification). We implemented ensemble based Gradient Boost Trees classification method for both the tasks. Our system could perform well for the task 4D and ranked 13th among 15 teams, for the task 4B our model ranked 23rd position.

Tasks

Classification General Classification Information Retrieval Position Sentiment Analysis Twitter Sentiment Analysis

TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier

Abstract

Tasks

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