Comprehensive Guide to Text Analytics for Market Research
This comprehensive guide to text analytics for market research covers everything from thematic coding to sentiment analysis and – most importantly – how to implement it effectively. It is useful for anyone looking to extract insights from text and should show you that getting started with text analytics doesn’t have to be difficult. If you are […]
Sentiment Word Cloud in R: Step-by-Step Guide + R Code
The Word Cloud above summarizes some data from tweets by President Trump. The green words are words that are significantly more likely to be used in tweets with a positive sentiment. The red represents words more likely to be used in negative tweets. The code I used to create this tweet is below. All you […]
Learn Text Analytics in R: A Step-by-Step Guide
Introduction Text analytics is the process of using computational methods to extract meaningful insights from text data. It combines techniques from statistics, machine learning, and natural language processing to help organizations understand and analyze large volumes of written content like documents, social media posts, and customer feedback. In this step-by-step tutorial, you’ll learn how to […]
Implement Text Analytics for Effective Sentiment Analysis
Introduction to Sentiment Analysis Text analytics and sentiment analysis are essential tools for businesses to understand what people are saying about them online. While text analytics transforms unstructured data (like social media posts, reviews, and comments) into actionable insights, sentiment analysis goes a step further to determine whether those texts express positive, negative, or neutral […]
Thematic Coding vs. Sentiment Analysis: What’s Right for You?
Thematic coding and sentiment analysis – what’s the difference? In this blog post, we’ll examine when to use each method and explain why combining the two can yield the best results. Understanding Sentiment Analysis and Thematic Coding Sentiment analysis and thematic coding are two methods of qualitative data analysis that are (rightly) often grouped together. […]
Sentiment Analysis Tools: 3 Tips for Better Insights
As text analytics tools continue to evolve with AI, sentiment analysis remains a key tenant of any qualitative research project. It cuts to the core of how customers perceive brands, products, and services, summarizing the mood behind consumer feedback and providing valuable insights. The capabilities of sentiment analysis have been rapidly improving with advancements in […]
Analyzing Sentiment in Customer Feedback Responses
Open-ended survey responses can be difficult to analyze. Algorithms and data models that work well with numeric and multiple-choice data often struggle to make sense of free-form text data. Sentiment analysis is a widely used text analytics technique to help code customer feedback. Learn what it is and how to use it! An open-ended customer […]
Fully-Integrated AI Text Analysis with Displayr
Oh, text data – you love what it can tell you, but if I had to guess – you do not like analyzing it. In a state of information overload, people are communicating digitally more than ever, whether through tweets, reviews, or open-ended responses to surveys. The data within those messages is an untapped gold […]
