Papers Twitter Sentiment Analysis
“Twitter Sentiment Analysis” 태그가 달린 논문 96편 · 필터 해제
Breaking BERT: Gradient Attack on Twitter Sentiment Analysis for Targeted Misclassification
Social media platforms like Twitter have increasingly relied on Natural Language Processing NLP techniques to analyze and understand the sentiments expressed in the user generated content. One such state of the art NLP m…
Adversarial TextSentiment AnalysisSentiment ClassificationTwitter Sentiment AnalysisSentiment Analysis in Twitter Social Network Centered on Cryptocurrencies Using Machine Learning
Cryptocurrency is a digital currency that uses blockchain technology with secure encryption. Due to the decentralization of these currencies, traditional monetary systems and the capital market of each they, can influenc…
Emotion ClassificationSentiment AnalysisTwitter Sentiment AnalysisApplication of Liquid Rank Reputation System for Twitter Trend Analysis on Bitcoin
Analyzing social media trends can create a win-win situation for both creators and consumers. Creators can receive fair compensation, while consumers gain access to engaging, relevant, and personalized content. This pape…
DiversitySentiment AnalysisTwitter Sentiment AnalysisTwitter Sentiment Analysis of Covid Vacciness
In this paper, we look at a database of tweets sorted by various keywords that could indicate the users sentiment towards covid vaccines. With social media becoming such a prevalent source of opinion, sorting and ranking…
Sentiment AnalysisTwitter Sentiment AnalysisPotential of ChatGPT in predicting stock market trends based on Twitter Sentiment Analysis
The rise of ChatGPT has brought a notable shift to the AI sector, with its exceptional conversational skills and deep grasp of language. Recognizing its value across different areas, our study investigates ChatGPT's capa…
Sentiment AnalysisTwitter Sentiment AnalysisHausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment Analysis
We present the findings of SemEval-2023 Task 12, a shared task on sentiment analysis for low-resource African languages using Twitter dataset. The task featured three subtasks; subtask A is monolingual sentiment classifi…
Sentiment AnalysisSentiment ClassificationTwitter Sentiment AnalysisZero-shot Sentiment ClassificationCryptocurrency Price Prediction using Twitter Sentiment Analysis
The cryptocurrency ecosystem has been the centre of discussion on many social media platforms, following its noted volatility and varied opinions. Twitter is rapidly being utilised as a news source and a medium for bitco…
PredictionSentiment AnalysisTwitter Sentiment AnalysisAfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
Africa is home to over 2,000 languages from more than six language families and has the highest linguistic diversity among all continents. These include 75 languages with at least one million speakers each. Yet, there is…
DiversitySentiment AnalysisSentiment ClassificationTwitter Sentiment AnalysisAn LSTM model for Twitter Sentiment Analysis
Sentiment analysis on social media such as Twitter provides organizations and individuals an effective way to monitor public emotions towards them and their competitors. As a result, sentiment analysis has become an impo…
modelSentiment AnalysisTwitter Sentiment Analysisn-stage Latent Dirichlet Allocation: A Novel Approach for LDA
Nowadays, data analysis has become a problem as the amount of data is constantly increasing. In order to overcome this problem in textual data, many models and methods are used in natural language processing. The topic m…
Sentiment AnalysisText ClassificationTopic ClassificationTopic Models+1Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets
With the development of technology, the use of social media has become quite common. Analyzing comments on social media in areas such as media and advertising plays an important role today. For this reason, new and tradi…
Emotion RecognitionSentiment AnalysisText ClassificationTopic Models+1Twitter Sentiment Analysis
In this report, address the problem of sentiment classification on the Twitter dataset. used a number of machine learning and deep learning methods to perform sentiment analysis. In the end, used a majority vote ensemb…
BIG-bench Machine LearningClassificationDeep LearningEmotion Classification+5A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis
Sentiment analysis is a text mining task that determines the polarity of a given text, i.e., its positiveness or negativeness. Recently, it has received a lot of attention given the interest in opinion mining in micro-bl…
LemmatizationOpinion MiningSentiment AnalysisTwitter Sentiment AnalysisHow Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies
Twitter sentiment analysis, which often focuses on predicting the polarity of tweets, has attracted increasing attention over the last years, in particular with the rise of deep learning (DL). In this paper, we propose a…
Sentiment AnalysisTwitter Sentiment AnalysisA `Sourceful' Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source
We widely use emojis in social networking to heighten, mitigate or negate the sentiment of the text. Emoji suggestions already exist in many cross-platform applications but an emoji is predicted solely based a few promin…
Sentiment AnalysisTwitter Sentiment AnalysisGRUBERT: A GRU-Based Method to Fuse BERT Hidden Layers for Twitter Sentiment Analysis
In this work, we introduce a GRU-based architecture called GRUBERT that learns to map the different BERT hidden layers to fused embeddings with the aim of achieving high accuracy on the Twitter sentiment analysis task. T…
Sentiment AnalysisTwitter Sentiment AnalysisFrom Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data
The effectiveness of traditional traffic prediction methods is often extremely limited when forecasting traffic dynamics in early morning. The reason is that traffic can break down drastically during the early morning co…
ManagementTraffic PredictionTwitter Sentiment AnalysisUnsupervised Spatial ClusteringPublic discourse and sentiment during the COVID-19 pandemic: using Latent Dirichlet Allocation for topic modeling on Twitter
The study aims to understand Twitter users' discourse and psychological reactions to COVID-19. We use machine learning techniques to analyze about 1.9 million Tweets (written in English) related to coronavirus collected …
Sentiment AnalysisTwitter Sentiment AnalysisA Novel Twitter Sentiment Analysis Model with Baseline Correlation for Financial Market Prediction with Improved Efficiency
A novel social networks sentiment analysis model is proposed based on Twitter sentiment score (TSS) for real-time prediction of the future stock market price FTSE 100, as compared with conventional econometric models of …
Decision MakingPredictionregressionSentiment Analysis+1Mazajak: An Online Arabic Sentiment Analyser
Sentiment analysis (SA) is one of the most useful natural language processing applications. Literature is flooding with many papers and systems addressing this task, but most of the work is focused on English. In this pa…
Arabic Sentiment AnalysisSentiment AnalysisTwitter Sentiment Analysis