Hindi News Sentiment Classifier : Streamlit App
<p>In<em> Fig. 2 </em>The pie chart shows positive, negative, neutral sentiment score sentence of the Overall News Article along with a wordcloud figure of important terms appeared in the application. Sentences are highlighted as per color scheme to denote model predictions (good for Probe Model Prediction).</p>
<h1>Model Building:</h1>
<p><em>Simple Transformer</em> is used to finetune pretrained RoBERTa model on Hindi language. Data distribution among annotated labels is positive— 3040,<br />
negative — 3104, neutral — 2591 sentences. After training for 3 epochs model gave best result (triggered due to early stopping).</p>
<p><a href="https://saurabhk30.medium.com/hindi-news-sentiment-classifier-streamlit-app-88ba5ceb4063"><strong>Click Here</strong></a></p>