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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 is designed to work for any user by simply plugging this bot in existing or new task to perform Natural Language Understanding analysis using IBM Watson API. This bot provides Usage, Sentimental Analysis, Semantic Roles, Relations, Language, Keywords, Entities, Emotions, Concepts and Category. Please check "More Details" section for details on parameters.

This bot takes the following input : Data (text).This bot provides several attributes on analysed text. Please find below all the attributes : Usage, Sentimental Analysis, Semantic Roles, Relations, Language, Keywords, Entities, Emotions, Concepts and Category. We are only proving dedicated output for Sentiments but if needed other attributed can also be stripped from response.This bot 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.

Get Bot

Free

Applications
Category
Security
Passed third-party anti-virus scan conducted by Automation Anywhere.
Downloads
400
Vendor
Automation Type
Bot
Last Updated
November 12, 2019
First Published
February 12, 2018
Enterprise Version
11.x
Support

See the Bot in Action

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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.