Detect Sentiment from Text

Analyze various features of text content at scale

Top Benefits

  • Quick and seamless Integration
  • Easy to use and integrate in new or existing application without any technical supervision.Text analysis providing key attributes like Usage, Sentimental Analysis, Semantic Roles, Relations, Language, Keywords, Entities, Emotions, Concepts and Category. Integrated AI.

This Bot performs Natural Language Understanding analysis using IBM Watson API and can be plugged into any task. It provides Usage, Sentimental Analysis, Semantic Roles, Relations, Language, Keywords, Entities, Emotions, Concepts and Category. Please check "More Details" section for details on parameters.

Inputs: Data (text). This Bot provides several attributes on analysed text. The attributes are : Usage, Sentimental Analysis, Semantic Roles, Relations, Language, Keywords, Entities, Emotions, Concepts and Category. It  only support "text" analysis.

Key Use Case: - Analyze the text in an email; - Parse the body of the email and look for keywords; - Use the Watson API to look for matches and assess sentiment; - Create a CSV file of those messages which have BAD sentiment.'- Analyze the text in an email;
- Parse the body of the email and look for keywords;
- Use the Watson API to look for matches and assess sentiment;
- Create a CSV file of those messages which have negative sentiment.

Access Now

Free

Bot Security Program
Level 1
Applications
Category
Downloads
484
Vendor
Automation Type
Bot
Last Updated
December 22, 2020
First Published
February 12, 2018
Platform
11.x
Support

See the Bot in Action

PREV NEXT

Setup Process

Install

Download the Bot and follow the instructions to install it in your AAE Control Room.

Configure

Open the Bot to configure your username and other settings the Bot will need (see the Installation Guide or ReadMe for details.)

Run

That's it - now the Bot is ready to get going!

Requirements and Inputs

  • AAE v11.x
  • Inputs: Provide text for sentiment analysis.