Analyze tweets for sentiment using FinBERT and VADER
Analyze sentiment of input text
Analyze sentiment in your text
rubert_tiny_space made for 1st and I hope last time
Analyze tweets for sentiment
Analyze sentiment in text using multiple models
Predict sentiment of a text comment
Analyze sentiments on stock news to predict trends
Analyze sentiment of US airline tweets
This is a todo chat bot where it will answer the activities
Predict emotion from text
Analyze sentiments in web text content
Analyze the sentiment of a text
X Sentiment is a sentiment analysis tool designed to analyze tweets and determine their emotional tone. It leverages advanced AI models, specifically FinBERT and VADER, to provide accurate sentiment detection. Whether you're tracking brand reputation, monitoring customer feedback, or analyzing public opinion, X Sentiment offers a powerful solution for understanding sentiment in real-time.
• Advanced Sentiment Detection: Utilizes FinBERT and VADER for precise sentiment analysis. • Real-Time Analysis: Quickly processes and analyzes tweets as they appear. • Customizable Filters: Allows users to focus on specific hashtags, keywords, or accounts. • Bulk Processing: Supports the analysis of large volumes of tweets simultaneously. • Data Visualization: Provides clear and actionable insights through visual representations of sentiment data.
What algorithms does X Sentiment use for analysis?
X Sentiment uses FinBERT (a financial-specific BERT model) and VADER (a rule-based sentiment analysis tool) to ensure high accuracy in sentiment detection.
Can I analyze tweets from specific accounts or hashtags?
Yes, X Sentiment allows you to filter and focus on tweets from specific accounts, hashtags, or keywords to refine your analysis.
Does X Sentiment require an internet connection to work?
Yes, X Sentiment requires an internet connection to access Twitter's API for real-time tweet collection and analysis.