DeepAI AI Chat
Log In Sign Up

An Enhanced Text Classification to Explore Health based Indian Government Policy Tweets

by   Aarzoo Dhiman, et al.
IIT Roorkee

Government-sponsored policy-making and scheme generations is one of the means of protecting and promoting the social, economic, and personal development of the citizens. The evaluation of effectiveness of these schemes done by government only provide the statistical information in terms of facts and figures which do not include the in-depth knowledge of public perceptions, experiences and views on the topic. In this research work, we propose an improved text classification framework that classifies the Twitter data of different health-based government schemes. The proposed framework leverages the language representation models (LR models) BERT, ELMO, and USE. However, these LR models have less real-time applicability due to the scarcity of the ample annotated data. To handle this, we propose a novel GloVe word embeddings and class-specific sentiments based text augmentation approach (named Mod-EDA) which boosts the performance of text classification task by increasing the size of labeled data. Furthermore, the trained model is leveraged to identify the level of engagement of citizens towards these policies in different communities such as middle-income and low-income groups.


page 1

page 2

page 3

page 4


TF-CR: Weighting Embeddings for Text Classification

Text classification, as the task consisting in assigning categories to t...

Comparative Analysis of Text Classification Approaches in Electronic Health Records

Text classification tasks which aim at harvesting and/or organizing info...

Can the Government Compel Decryption? Don't Trust – Verify

If a court knows that a respondent knows the password to a device, can t...

Industrial Memories: Exploring the Findings of Government Inquiries with Neural Word Embedding and Machine Learning

We present a text mining system to support the exploration of large volu...

Impact of Feature Selection on Micro-Text Classification

Social media datasets, especially Twitter tweets, are popular in the fie...

ZeroBERTo – Leveraging Zero-Shot Text Classification by Topic Modeling

Traditional text classification approaches often require a good amount o...