Sentiment analysis of Twitter data by making use of SVM, Random Forest and Decision Tree algorithm
J Singh, P Tripathi - 2021 10th IEEE International Conference …, 2021 - ieeexplore.ieee.org
Data production over the internet has been increased tremendously because of social
media sites' growth. A significant number of users share their thoughts, images, videos etc …
media sites' growth. A significant number of users share their thoughts, images, videos etc …
[HTML][HTML] Sentiment analysis on Twitter data using term frequency-inverse document frequency
This study is an exploratory analysis of applying natural language processing techniques
such as Term Frequency-Inverse Document Frequency and Sentiment Analysis on Twitter …
such as Term Frequency-Inverse Document Frequency and Sentiment Analysis on Twitter …
User perspective Bangla sentiment analysis for online gaming addiction using machine learning
Sentiment analysis is the modern Natural Language Processing (NLP) technique for
determining the sentiment of a user. The recent COVID-19 pandemic has pushed people of …
determining the sentiment of a user. The recent COVID-19 pandemic has pushed people of …
Sentiment analysis of jakarta bus rapid transportation services using support vector machine
Z Nurthohari, DI Sensuse, S Lusa - … International Conference on …, 2022 - ieeexplore.ieee.org
Jakarta Bus Rapid Transportation is state-own company which have services in public
transportation. On October 2021, Jakarta Bus Rapid Transportation was recently trending on …
transportation. On October 2021, Jakarta Bus Rapid Transportation was recently trending on …
Graph neural network-based attention mechanism to classify spam review over heterogeneous social networks
MB Pal, S Agrawal - The Journal of Supercomputing, 2024 - Springer
Abstract Graph Neural Networks (GNNs) models, a current machine learning hotspot, have
increasingly started to be applied in fraud detection in conjunction with user reviews in …
increasingly started to be applied in fraud detection in conjunction with user reviews in …
Customer satisfaction analysis of mobile banking application based on Twitter data
MA Ligiarta, Y Ruldeviyani - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
The Covid-19 pandemic has changed the way people transact from physical bank to mobile
banking transactions. The banks as financial companies are competing to offer the best …
banking transactions. The banks as financial companies are competing to offer the best …
Sentiment analysis of multilingual mixed-code, Twitter data using machine learning approach
Sentiment Analysis is a process of computing, identifying, and categorizing opinion from a
piece of text and discovering if the writer's attitude toward a particular topic or product is …
piece of text and discovering if the writer's attitude toward a particular topic or product is …
Sentiment Analysis of Arabic Tweets on Online Learning During the COVID-19 Pandemic: A Machine Learning and LSTM Approach.
SE Alqaan, AM Qamar - Ingénierie des Systèmes d' …, 2023 - search.ebscohost.com
In response to the unprecedented shift towards online learning during the COVID-19
pandemic, this study presents an innovative analysis of sentiments expressed in Arabic …
pandemic, this study presents an innovative analysis of sentiments expressed in Arabic …
Sentiment analysis of twitter data using clustering and classification
Data mining helps in collecting and managing data besides performing analysis and
prediction analysis. The process that is implemented to discover useful data patterns may …
prediction analysis. The process that is implemented to discover useful data patterns may …
A classification approach with machine learning methods for technical problems of distance education: Turkey example
Distance education is an education model in which the lessons can be taught
simultaneously using technical material without time and space restrictions. It has gained …
simultaneously using technical material without time and space restrictions. It has gained …