Sentimentanalyser

What is Sentimentanalyser ?

Sentimentanalyser is a powerful tool designed to analyze sentiment and generate visualizations from CSV text data. It enables users to convert CSV data into actionable insights by examining the sentiment of text within a specified column. The tool provides detailed sentiment analysis and graphical representations of the results, making it easier to understand data patterns and trends.

Features

• CSV Data Support: Process CSV files containing text data for sentiment analysis.
• Sentiment Detection: Identify positive, negative, and neutral sentiments within the text.
• Data Visualization: Generate charts and graphs to represent sentiment analysis results.
• Summary Reports: Obtain a concise overview of the sentiment analysis outcomes.
• Filtering Options: Apply filters to narrow down analysis based on specific criteria.

How to use Sentimentanalyser ?

1. Upload Your CSV File: Import your CSV data containing the text you want to analyze.
2. Select the Text Column: Identify and choose the column in your CSV file that contains the text for sentiment analysis.
3. Apply Filters (Optional): Use available filters to refine your analysis based on specific parameters.
4. Run Analysis: Click the "Analyze" button to process the data and generate results.
5. View Results: Review the sentiment analysis results, including visualizations and summary reports.

Frequently Asked Questions

What file formats does Sentimentanalyser support?
Sentimentanalyser currently supports CSV files for input data.

Can Sentimentanalyser detect specific sentiments like positive or negative?
Yes, Sentimentanalyser can detect positive, negative, and neutral sentiments within the text data.

How accurate is Sentimentanalyser?
Sentimentanalyser uses advanced AI models to analyze text, but accuracy may vary depending on the quality and complexity of the input data.