Deep Learning Technique for Sentiment Analysis of Hindi-English Code-Mixed Text Using Late Fusion

Title: Deep Learning Technique for Sentiment Analysis of Hindi-English Code-Mixed Text Using Late Fusion of Character and Word Features
Author: Siddhartha Mukherjee
Affiliation: Samsung R&D Institute India-Bangalore, India
Abstract: Enormous presence of Code-Mixed text in social media provides an important research area for Natural Language Processing (NLP). This paper proposes a novel deep learning based techniques for Sentiment Analysis of Code-Mixed Hindi-English text. Proposed Deep Learning technique uses joint learning from Character and Word features. This paper also implements a technique for preparing corpus for training Word Embedding of Code-Mixed text. This trained embedding is further used in proposed architecture for robust classification. The proposed approach exceeds the baseline accuracy by 3.35%. Additionally this paper shares experiments, which are conducted on the proposed architecture using three different loss functions and two optimizers.

Видео Deep Learning Technique for Sentiment Analysis of Hindi-English Code-Mixed Text Using Late Fusion канала IEEE Gujarat Section