Browsing by Subject "Random forest"
Now showing items 21-36 of 36
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A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)In the current age of social media, information spreads like wildfire. Unfortunately, this also means that misinformation or rumors can spread easily. The spread of this misinformation can have negative consequences for ... -
Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
(Brac University, 2021-09)Agriculture has been the driving force of the Bangladesh economy. In the agricultural sector, farmers are largely incapable of using scientific technology to maximize crop yield and identify which crops can be grown in ... -
A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
(Brac University, 2023-01)In this research, we propose a hybrid model for predicting suicide risk from text data that incorporates BERT, VADER, and a Random Forest classifier for sentiment analysis. This model aims to identify individuals who may ... -
Machine learning-based approach on predicting online shopping addiction using EEG signals
(Brac University, 2022-05-24)According to experts, shopping addiction is often a coping mechanism for those who are experiencing mental pain. As a result, to research online shopping addiction, researchers must look at changes in brain activity during ... -
Modelling and forecasting energy demand of Bangladesh using AI based algorithms
(Brac University, 2019-04)Bangladesh being one of the ve fastest growing economies in the world with its enormous 164.7 million population is facing a huge challenge of adapting to the surging demand of electricity rising throughout the country ... -
Parking data analysis
(Brac University, 2023-03)Car parking is a hassle for everyone in one word, but when it is in a country where population is an issue, parking problems can easily stress someone out. Car parking is a key contributor to traffic congestion and has ... -
Performance analysis of machine learning algorithms for Malware classification
(Brac University, 2022-09-29)Malware detection research has been popular over the years as the variations and complexity of malware attacks are increasing daily. Using variously Supervised and Unsupervised machine learning algorithms to detect, ... -
Predicting stock market movement using sentiment analysis of twitter feed
(BRAC University, 4/16/2017)Collecting opinions of mass people through the social networking sites has become easy and handy now-a-days. These opinions show the sentimental state of a large number of people, which, according to behavioral economics, ... -
Prediction of bipolar disorder from mental episodes using machine learning approach
(Brac University, 2022-06-05)A precious gift to mankind is the ability to express their emotions or feelings and also to realize. Sometimes, an omnipresent sustained feeling or emotion can dominate a person’s behavior and affect his perception which ... -
Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
(Brac University, 2022-09)Internet-based applications like social media platforms and blogs have exploded in popularity, and with them have come reviews and commentary on people’s daily lives. Unfortunately, the vast majority of these evaluations ... -
Social media trend analysis to predict the success of products using deep learning technique
(Brac University, 2022-09-29)In recent times, social media usage has reached such heights that it has become a powerhouse in producing trends, bringing such topics that would have remained outside of popular consciousness. Our goal is to analyze how ... -
Speech emotion detection using supervised, unsupervised and feature selection algorithms
(BRAC University, 2019-04)A tremendous research is being done on Speech Emotion Recognition (SER) in the recent years with its main motto to improve human machine interaction. In this thesis work,we have introduced a scheme for emotion recognition ... -
A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
(Brac University, 2019-09)The application of Arti cial intelligence (AI) has become a valuable part of medical research. These days diabetes is one of the top maladies on the planet. Nowadays it has become a common disease and alarming as people ... -
A supervised machine learning approach to predict vulnerability to drug addiction
(Brac University, 2019-08)There are signi cant amount of di erences between an addicted and non-addicted person on their social and familial behavior. In our thesis we tried to nd out the characteristics of a person related to his social and ... -
Text classification with an efficient preprocessing technique for cross-language and multilingual data
(Brac University, 2022-09-28)The procedure of eradicating extraneous textual elements and preparing or process- ing the values to be fed into the classifier model is often indicates the concept of text-preprocessing. There are several preprocessing ... -
A voice signal based gender prediction model using random forest classifier
(BRAC University, 2018-04)In the proposed model, Classification and Regression Tree (CART) was used as a classifier to classify gender using four different algorithms which were tested with changing dataset frames, layer sizes and samples to get ...