Introduction With the advent of social media, platforms like Twitter and Facebook have become focal points for public discourse. As users express their opinions on trending topics and global events, it becomes critical for stakeholders—be it governme...
Decoding the Main Claims In the fascinating realm of machine learning and natural language processing (NLP), one distinct challenge is handling code-mixed language data effectively. The paper "Translate And Classify: Improving Sequence Level Classifi...
Active Learning: Enhancing BERT's Efficiency for Real-World Text Classification Text classification, a vital task in natural language processing (NLP), faces significant challenges like class imbalance and the scarcity of labeled data, often critical...
Introduction Creating metadata—a critical step in digital archiving—is often tedious, labor-intensive, and costly. As the volume of digital data grows, traditional manual methods for metadata creation become increasingly impractical. The scientific p...
Introduction In today's digital age, companies are always looking to optimize processes and maximize revenue. Surprisingly, some of the most exciting advancements in AI might not come from adding layers and parameters but from minimizing and simplify...
Understanding Aspect-Based Sentiment Analysis in QA Forums The digital age has ushered in numerous platforms for information exchange, with Question Answering (QA) forums becoming a pivotal space for users to express opinions and seek advice on produ...
Understanding Aspect-Based Sentiment Analysis in Different Languages Businesses worldwide collect vast quantities of user reviews and feedback across different languages. However, mining sentiments accurately from these reviews poses numerous languag...
