Sentiment analysis of before and after elections: Twitter data of us election 2020
US President Joe Biden took his oath after being victorious in the controversial US elections
of 2020. The polls were conducted over postal ballot due to the coronavirus pandemic …
of 2020. The polls were conducted over postal ballot due to the coronavirus pandemic …
Generative adversarial network for sentiment‐based stock prediction
S Asgarian, R Ghasemi… - … and Computation: Practice …, 2023 - Wiley Online Library
Financial markets received more attention due to technological advancements, such as
Artificial Intelligence (AI). In addition to the price index, traders and investors constantly …
Artificial Intelligence (AI). In addition to the price index, traders and investors constantly …
Sentiment and emotions analysis of tweets during the second round of 2021 ecuadorian presidential election
Nowadays, the social network Twitter has acquired relevant importance as a massive
communication and public engagement tool for personal, business, and political purposes …
communication and public engagement tool for personal, business, and political purposes …
Sentiment Analysis for Abolition of National Exams in Indonesia using Support Vector Machine
Through the Minister of Education and Culture, the Indonesian government has announced
the abolition of the implementation of the National Examination for grades 6, 9, and 12 in …
the abolition of the implementation of the National Examination for grades 6, 9, and 12 in …
Implementation of machine learning for sentiment analysis of social and political orientation in Pekanbaru city
Nowadays, people are free to express their opinions regarding a problem in online social
networks. One of most popular social network used to express opinions is Twitter. Public …
networks. One of most popular social network used to express opinions is Twitter. Public …
[PDF][PDF] Sentiment analysis for low-resource language: The case of tigrinya
AF Tela - 2020 - erepo.uef.fi
In recent years, transformer models have achieved great success in NLP research areas.
Most of the current state-of-the-art NLP results are achieved by using mono-lingual …
Most of the current state-of-the-art NLP results are achieved by using mono-lingual …
[PDF][PDF] A Novel Deep Learning Approach of Convolutional Neural Network and Random Forest Classifier for Fine-grained Sentiment Classification
SG CG, B Sumathi - International Journal on Electrical Engineering and …, 2021 - ijeei.org
Deep learning became more popular in recent years. It is widely used for different machine
learning tasks. One such task is sentiment prediction on a text document. Fine-grained …
learning tasks. One such task is sentiment prediction on a text document. Fine-grained …
a Proposed Machine learning model for predicting Egyptian Parliament Election Results
S Saleh, M Marie - International Journal of Advanced Science and …, 2025 - mail.ijasca.org
Political life and election have become one of the most important comments on social media
sites. Governments have shown a keen interest in predicting the results of elections, whether …
sites. Governments have shown a keen interest in predicting the results of elections, whether …
Emotion Analysis on Youtube Comments for 2023 Turkish Presidential Elections
C Çılgın - Yeni Medya - dergipark.org.tr
The 13th Presidential election has created a wide agenda in many countries as well as in
Turkey. In this election period, along with traditional media tools, social media tools were …
Turkey. In this election period, along with traditional media tools, social media tools were …
[PDF][PDF] Sentiment Analysis of before and after Elections: Twitter Data of US Election 2020. Electronics 2021, 10, 2082
US President Joe Biden took his oath after being victorious in the controversial US elections
of 2020. The polls were conducted over postal ballot due to the coronavirus pandemic …
of 2020. The polls were conducted over postal ballot due to the coronavirus pandemic …