uibfs

Text Mining for Manangers and Marketing Teams

INVESTMENT

UGX 0.00

DURATION

START DATES

DELIVERY MODE

Face-to-face hands-on

ASSESSMENT

Practical exercises in each lesson and module.

COURSE OVERVIEW

This course provides comprehensive training on text mining techniques for managers and
marketing teams. Participants will learn how to leverage text mining tools and techniques
to extract valuable insights from large volumes of textual data, enabling them to make
informed decisions and enhance their marketing strategies.

COURSE OBJECTIVE

Develop proficiency in utilizing text mining tools for decision-making in managerial
and marketing contexts.
 Understand the principles and best practices of text mining and its application in
business.
 Learn to effectively preprocess and clean text data to ensure accurate analysis.
 Gain expertise in applying text mining techniques such as sentiment analysis, topic
extraction, and text classification.
 Utilize text mining tools for competitive intelligence and market trend analysis.
 Apply text mining techniques to identify customer sentiments, preferences, and
opinions.
 Use visualization and reporting tools to present text mining results in a clear and
actionable manner.

TARGET AUDIENCE

WHAT YOU WILL STUDY

LEARNING OUTCOMES

Upon completion of the training, participants will gain the following skills:
1) Proficiency in utilizing text mining tools for decision-making and marketing strategies.
2) Ability to preprocess and clean text data for accurate analysis.
3) Application of sentiment analysis to understand customer sentiments and opinions.
4) Use of topic extraction to identify key themes and trends in textual data.
5) Text classification techniques for organizing and categorizing text data.
6) Utilization of text mining for competitive intelligence and market trend analysis.
7) Presentation of text mining results through visualization and reporting tools.
Training Software:
• Word Cloud Generation: 1) Wordle, 2) WordClouds.com, 3) Tableau, 4) Epi Info, 5) R
Studio
• Text Mining: 1) NVivo 2) Atlas.ti 3) RapidMiner 4) Python Libraries
Fee: 800,000/= UGX

OPPORTUNITY FOR FURTHER STUDY

Open chat
Hello 👋
Can we help you?