AI-powered sentiment analysis tool

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AI-Powered Sentiment Analysis PoC

A proof-of-concept sentiment analysis solution that evaluates text and identifies its overall mood and tone. The tool features a clean and intuitive interface built with React.js and Tailwind. A Ruby-based back end, enhanced with the Puma 6.5 web server and HTTP requests from the HTTParty 0.22 library, connects it to the Azure Language API, which handles sentiment analysis, opinion mining, and emotional tone detection.

The solution assigns confidence scores to major tones of voice (positive, negative, neutral, or mixed) and determines the general mood of the text. The framework used during this project can be enhanced to provide deeper and more specific text analyses.

How to Analyze Text Sentiment

  1. Use sample emails from the "Emails" tab to make the solution analyze the tone and the mood of email messages, illustrating its core functionality.
  2. Select the "Plain Text" tab to open the text input area.
  3. Enter your text by pasting or typing your message into the text area.
  4. Click the "Analyze Tone of Voice" button to process your text.
  5. Review the results, which include a summary of the tone of voice with confidence scores for the major tones (positive, negative, neutral, or mixed) and the primary emotion (e.g., disappointed or friendly).
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POC FEATURES

Sentiment Analysis
AI-Powered Text
Sentiment Analysis
Mood Assessment
Emotional Mood
Assessment
Confidence Scoring
Tone of Voice
Confidence Scoring
Text Reports
Comprehensive
Text Reports
User Interface
User-Friendly
Interface

Related
Industries

Our solution is suitable for nearly any industry that relies on customer interactions and high-quality internal communication. However, it was primarily designed with the following industries in mind.

Healthcare

Healthcare

Healthcare professionals can use our solution to analyze the emotional tone of patient messages. This feature might be critical for managing patient satisfaction. It can also be particularly valuable in specialized areas such as psychology, where tracking patient mood can provide critical insights and enhance care.

E-commerce

E-commerce

The text sentiment solution can analyze product reviews across the web, which helps brands identify potential issues with their products and services early. It also provides companies with a clearer understanding of overall brand sentiment.

Marketing

Marketing

The tool can be used for social media monitoring. In particular, it can aid in tracking brand sentiment in social media comments and posts. Marketing specialists can also use it to select the right sentiment for their campaigns and PR initiatives, as well as to detect negative trends.

Government

Government & Public Services

Our solution allows public service specialists to evaluate sentiment in citizen requests and surveys. By understanding the dynamics of public opinions, the authorities can take appropriate measures to improve the quality of life and be more responsive to the needs of the citizens.

HR & Recruitment

HR & Recruitment

The tool can be used for screening candidate emails and analyzing their feedback tone. By reviewing communication patterns, HR specialists can make conclusions about the soft skills of the candidates and the employees. The solution can also help detect early signs of employee burnout and assess overall team morale.