SENTIMENT ANALYSIS OF COVID-19 TWEETS USING MACHINE LEARNING TECHNIQUES /

Gorde:

Xehetasun bibliografikoak
Egile nagusia:	Rahman, Md. Mahbubar
Erakunde egilea:	Supervised by Lt. Col Muhammad Nazrul Islam (Associate Professor, Dept of CSE, MIST, Dhaka.)
Formatua:	Liburua
Hizkuntza:	ingelesa
Argitaratua:	Dhaka: CSE DEPT MIST , c 2021
Gaiak:	Thesis Paper of CSE in M.Sc Prog. Computer Science and Engineering.
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak: SENTIMENT ANALYSIS OF COVID-19 TWEETS USING MACHINE LEARNING TECHNIQUES /

Quick Look
MACHINE LEARNING MODEL TO DETECT PNEUMONIA OF COVID-19 PATIENTS FROM CHEST X-RAY IMAGES /
Quick Look
LOCATION BASED SENTIMENT ANALYSIS ON COVID-19 VACCINE TWITTER DATA USING NEURAL NETWORK MODELS /
Quick Look
SENTIMENT ANALYSIS OF MULTI-REGIONAL AND MULTILINGUAL TRENDING YOUTUBR VIDEOS USING A MODIFIED DEEP LEARNING MODEL /
Quick Look
MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /
Quick Look
APPLICATION OF MACHINE LEARNING IN SORTING NANO PARTICLES CHARACTERIZED BY OPTICAL FORCE /
Quick Look
AN EMPIRICAL STUDY OF EXPLORE THE HEALTH IMPACTS OF POST COVID-19 /
Quick Look
PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
Quick Look
DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS /
Quick Look
DETECTION OF BRAIN TUMORS FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
Quick Look
BANGLA HATE SPEECH DETECTION ON SOCIAL MEDIA USING MACHINE LEARNING MODEL/
Quick Look
IDENTIFICATION OF BREST TUMOR FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
Quick Look
IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
Quick Look
DEVELOPMEMENT OF A MACHINE LEARNING MODEL FOR BILLINGUAL SMS SPAM DETECTION /
Quick Look
MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /
Quick Look
AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
Quick Look
FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
Quick Look
PREDICTION OF POTATO DISEASE FROM LEAVES USING DEEP LEARNING /
Quick Look
INTERACTIVE HANDWRITTEN BANGLA DIGIT RECOGNITION SYSTEM USING CONVOLUTIONAL NEURAL NETWORK /
Quick Look
SIMILARITY ESTIMATION OF DNA SEQUENCES USING GRAYSCALE IMAGE ENCODING SCHEME ON 2D GRAPHMAP /
Quick Look
DESIGN AND DEVELOPMENT OF A MULTI-CHANNEL MILITARY APPLICATION USING INTERACTIVE DIALOGUE MODEL (IDM) PROVIDING ENHANCED USABILITY /
Quick Look
SENTIMENT ANALYSIS OF BANGLA ROW AND ROMANIZED TEXT /
Quick Look
DIABETIC RETINOPATHY STAGE DETECTION USING RETINAL FUNDUS IMAGES THROUGH ENSEMBLE LEARNING APPROACH/
Quick Look
DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /
Quick Look
ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /