Browsing by Subject "Computational linguistics."
Now showing items 1-6 of 6
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Customer service bot for a travel agency using natural language processing
(Brac University, 2024-06)Traveling isn’t new in the human race. Modern humans began migrating from Africa 70,000 to 50,000 years earlier. Again, modern tourism started in the 17th century in Western Europe and till today, humans didn’t stop and ... -
Detecting sarcasm in Bengali comments using NLP
(Brac University, 2023-01)Natural Language Processing (NLP) is a subset of Machine Learning which resides at the intersection of Linguistics and Computer Science. It deals with the capability of computers to learn and work with human languages. ... -
Detecting tweet sentiment and sarcasm on online learning during covid-19
(Brac University, 2023-01)COVID-19 pandemic has created a lot of challenges for student learning and educa tion across the globe. As a result of the global increase of the state of COVID-19, numerous educational institutions in the whole world ... -
Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
(Brac University, 2024-06)Automatic sentiment recognition from speech data is crucial for various applications. As AI has grown in popularity, the application of the importance of speech sentiment analysis is increasing along with the amount of ... -
Market demand analysis using NLP in Bangla language
(Brac University, 2021-09)Product market demand analysis plays a significant role for originating business strategies due to its noticeable impact on the competitive business field. Furthermore, there are roughly 228 million native Bengali speakers, ... -
Sentiment analysis in Bengali Text using NLP
(Brac University, 2023-01)Natural Language Processing, a branch of AI, teaches computers to understand speech and text in multiple languages. Machine learning or deep learning techniques can be used to develop rule-based models of human-spoken ...