Human sentiment analysis using natural language processing

Human sentiment analysis using natural language processing

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Shamya, Md. Shamiul Haque Khan, Fahim, Md. Shariar Hossain, Khan, Niaz Makhdum, Monir, K.M Mahfuzul, Hussain, Mubasshir
مؤلفون آخرون:	Nahim, Nabuat Zaman
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2024
الموضوعات:	Sentiment CNN-LSTM LSTM RNN Emotion NLP Prediction Token Embedding Machine learning Natural language processing (Computer science)
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/22675

مواد مشابهة

Stock Market Price movement prediction using RNN and Point-weight Sentiment
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منشور في: (2022)

Hybrid recommendation system of intelligent captioning using deep learning networks
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منشور في: (2024)

RED-LSTM: Real time emotion detection using LSTM
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منشور في: (2023)

Analysis of financial data on the time series using data from the stock market
بواسطة: Shachcha, Ifad Bhuiyan, وآخرون
منشور في: (2022)

Predicting effectiveness of marketing through analyzing emotional context in advertisement using deep learning
بواسطة: Arafat, Sheikh Mohammad, وآخرون
منشور في: (2021)

Text classification with an efficient preprocessing technique for cross-language and multilingual data
بواسطة: Khan, Towhid, وآخرون
منشور في: (2023)

Optimizing restaurant recommendations through sentiment analysis
بواسطة: Juha, Tasnia, وآخرون
منشور في: (2024)

Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
بواسطة: Fiha, Yeamin Jahan, وآخرون
منشور في: (2022)

Sentiment analysis using Natural Language Processing (NLP) & deep learning
بواسطة: Islam, Kazi Minhazul, وآخرون
منشور في: (2022)

Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
بواسطة: Orchi, Irin Hoque, وآخرون
منشور في: (2023)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
بواسطة: Nirjhor, S M Mahsanul Islam, وآخرون
منشور في: (2019)

A computer vision based approach for stalking detection using CNN-LSTM hybrid model
بواسطة: Iqbal, Shahriar, وآخرون
منشور في: (2023)

Bangla hate speech detection on social media using attention-based recurrent neural network
بواسطة: Das, Amit Kumar, وآخرون
منشور في: (2022)

Automatic helmet-less biker detection using deep learning
بواسطة: Ratul, Md. Ibrahim, وآخرون
منشور في: (2024)

Sentiment analysis to determine employee job satisfaction using machine learning techniques
بواسطة: Mouli, Nazifa, وآخرون
منشور في: (2023)

Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
بواسطة: Zaman, Md. Sayeed Ibne, وآخرون
منشور في: (2022)

Recognizing sentimental emotions in text by using Machine Learning
بواسطة: Bushra, Tabassum Khan, وآخرون
منشور في: (2023)

Analyzing area-wise air pollution level using machine learning for a better future
بواسطة: Sihan, Sk. Atik Tajwar, وآخرون
منشور في: (2021)

Sentiment analysis in Bengali Text using NLP
بواسطة: Sarkar, Ankon, وآخرون
منشور في: (2023)

Embedded system based bangla intelligent social virtual robot with sentiment analysis
بواسطة: Hossain, Md. Ishan Arefin, وآخرون
منشور في: (2018)

A transformer based approach to detect the sentiment of drivers in ride sharing platforms
بواسطة: Chakraborty, Sovon
منشور في: (2024)

Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
بواسطة: Shruti, Abanti Chakraborty
منشور في: (2024)

Affective social anthropomorphic intelligent system
بواسطة: Mamun, Md. Adyelullahil, وآخرون
منشور في: (2021)

A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
بواسطة: Morshed, Atique, وآخرون
منشور في: (2021)

Novel approach to detect hate speech and profanity on online platforms
بواسطة: Pritha, Barha Meherun, وآخرون
منشور في: (2022)

Short term load forecasting based on Internet of Things (IoT)
بواسطة: Uz Zaman, Mahdi, وآخرون
منشور في: (2018)

Demand forecasting on supply chain using ML and NN
بواسطة: Hridi, Naoshin Anzum, وآخرون
منشور في: (2023)

Automated image caption generator in Bangla using multimodal learning
بواسطة: Rodoshi, Mashiat Hasin, وآخرون
منشور في: (2023)

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
بواسطة: Ghose, Swattic, وآخرون
منشور في: (2023)

Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
بواسطة: Dewanjee, Tanmoy, وآخرون
منشور في: (2021)

Sentimental analysis of customer product Reviews to understand customer needs using machine learning
بواسطة: Symum, Md Abdullah Al, وآخرون
منشور في: (2023)

An advanced hospital rating system using machine learning and natural language processing
بواسطة: Tamjid, Ali Asgar, وآخرون
منشور في: (2023)

Dhaka Stock Market analysis with ARIMA-LSTM Hybrid Model
بواسطة: Arnob, Raisul Islam, وآخرون
منشور في: (2020)

Dhaka Stock Exchange stock price prediction using Machine Learning and Deep Learning Models
بواسطة: Barua, Debalina
منشور في: (2023)

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
بواسطة: Rahman, Shaomi, وآخرون
منشور في: (2018)

Voice impersonation detection using LSTM based RNN and explainable AI
بواسطة: Barua, Kawshik, وآخرون
منشور في: (2022)

Urban sound classification using convolutional Neural Network and long short term memory based on multiple features
بواسطة: Das, Joy Krishan, وآخرون
منشور في: (2021)

Predicting crime using deep learning
بواسطة: Shihab, Muhammad Nafees, وآخرون
منشور في: (2024)

Comparative analysis of machine learning models for stock price analysis across different dataset sizes
بواسطة: Srabon, Abir Alam, وآخرون
منشور في: (2023)

Sentiment classification on Bengali food and restaurant reviews
بواسطة: Hossain, Abid, وآخرون
منشور في: (2024)