Sentiment Analysis of Text Based on Bidirectional LSTM With Multi Head Attention
Objective
The objective of Sentiment Analysis of Text Based on Bidirectional LSTM With Multi Head Attention is to develop a machine learning model that can accurately analyze the sentiment of text data, such as social media posts, reviews, or customer feedback, using deep learning techniques. The model uses Bidirectional Long Short-Term Memory (LSTM) and Multi-Head Attention mechanisms to capture the context and dependencies of the input text and provide a more accurate sentiment analysis.
Paper Publishing
Request Call Back
Would you like to receive a free callback now?
Choose the best time for callback:
Leave your message and we will contact you as soon as possible
6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
