Title of Thesis: Aspect-Based Sentiment Analysis: A Deep Learning Perspective
Current Affiliation: Data Scientist at Lumiq
ACP: A Deep Learning Approach for Aspect-category Sentiment Polarity Detection
AGNER: Entity tagger in agriculture domain
Identifying Crop Specific Named Entities from Agriculture Domain Using Semantic Vector
ATE-SPD: simultaneous extraction of aspect-term and aspect sentiment polarity using Bi-LSTM-CRF neural network
Aspect category detection using statistical and semantic association
Context Pattern Based Agricultural Named Entity Recognition
Deep learning-based frameworks for aspect-based sentiment analysis