Browsing by Subject "BiLSTM"
Now showing items 1-5 of 5
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A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
(Brac University, 2022-09)Data innovation has moved quickly in recent years, and various unfavorable alter ations have been made to the network medium. Social media platforms like Face book, Twitter, and Instagram are becoming more and more popular ... -
Hybrid recommendation system of intelligent captioning using deep learning networks
(Brac University, 2024)This research introduces a hybrid recommendation system through sentiment analysis for Bangla long textual sentences. Social media, as a vast source of opinions, can be harnessed through sentiment analysis using deep ... -
An integrated approach: fake review detection using convBERT-BiLSTM classification
(Brac University, 2024-01)In the era of E-commerce, online reviews significantly shape consumer buying decisions and store evaluations. However, the prevalence of unethical practices such as review manipulation poses a considerable challenge. ... -
Novel approach to detect hate speech and profanity on online platforms
(Brac University, 2021-09)Hate speech is becoming more prominent and dominant in the virtual world, with the popularity of social media increasing day by day. People nowadays have various online platforms where they can express their hatred and ... -
TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices
(Brac University, 2024-05)In today’s digital world, voice emotion recognition is essential for applications like intelligent tutoring, audio mining, security, telecommunication, HCI, lie detection, and human-machine interactions in various settings. ...
