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Sentiment Analysis

11 Posts
The Primary Methods of Qualitative Data Analysis
The Primary Methods of Qualitative Data Analysis
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In academic research as well as in the business landscape, qualitative data analysis plays a crucial role in understanding and interpreting non-numerical data. Qualitative data analysis helps us make sense of the stories and personal narratives. In the business context, qualitative data analysis turns customer feedback into an in-depth understanding

AI & NLP
Qualitative Data Analysis: Step-by-Step Guide (Manual vs. Automatic)
Qualitative Data Analysis: Step-by-Step Guide (Manual vs. Automatic)
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When we conduct qualitative methods of research, need to explain changes in metrics or understand people's opinions, we always turn to qualitative data. Qualitative data is typically generated through: * Interview transcripts * Surveys with open-ended questions * Contact center transcripts * Texts and documents * Audio and video recordings * Observational notes Compared to quantitative

Feedback Analysis
How to theme qualitative data using thematic analysis software
How to theme qualitative data using thematic analysis software
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Become a qualitative theming pro! Creating a perfect code frame is hard, but thematic analysis software makes the process much easier.

AI & NLP
What is Deep Learning? A brief history, and what it means for the future
What is Deep Learning? A brief history, and what it means for the future
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At Thematic, we have a dedicated research team that is always innovating to bring you the most accurate sentiment and thematic analysis. Solving this difficult task requires in-depth understanding of both the problem of customer feedback analysis and the relevant advances in technology. This article is a glimpse into one

AI & NLP
Thematic Analysis Software: how it works and why you need It
Thematic Analysis Software: how it works and why you need It
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With AI-driven thematic analysis software, you can generate actionable insights effortlessly. Here’s what you need to know about this method of data analysis tool.

AI & NLP
The Complete Guide to Sentiment Analysis
The Complete Guide to Sentiment Analysis
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What is sentiment analysis? If we take your customer feedback as an example, sentiment analysis (a form of text analytics) measures the attitude of the customer towards the aspects of a service or product which they describe in text. This typically involves taking a piece of text, whether it’s

Sentiment Analysis
3 learnings from the Deep Learning for Sentiment Analysis workshop
3 learnings from the Deep Learning for Sentiment Analysis workshop
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I wanted to share with you my learnings from when our team at Thematic organized and sponsored a free 3-hour workshop on Deep Learning for Sentiment Analysis, run byDr. Felipe Bravo-Marquez [https://www.cs.waikato.ac.nz/~fbravoma/]. The workshop booked out within 24hrs of announcing it and more than

Sentiment Analysis
What is customer sentiment analysis and why should your business care?
What is customer sentiment analysis and why should your business care?
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Have you wondered what customer sentiment analysis really is? Let’s get to the bottom of it. But first, let’s set some context. Customers are looking for positive experiences. Brands do too! “People will forget what you said, people will forget what you did, but people will never forget

Feedback Analysis
Sarcasm in customer feedback – how common is it?
Sarcasm in customer feedback – how common is it?
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Most people believe that text analytics solutions fail because sarcasm in customer feedback is very common. Somebody writes “Great service, yeah right!” and the dumb algorithm tags it as positive. So, whenever I speak on text analytics, someone in the audience will always ask: But how do you deal with

Feedback Analysis
Emotional analysis of customer feedback – the missing link
Emotional analysis of customer feedback – the missing link
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According to Bruce Temkin’s 2016 study, after a positive emotional experience, customers are 15 times more likely to recommend a company. 15 times more likely! That’s a huge difference. Not surprisingly, emotion analysis is receiving a lot of buzz. But do the current solutions deliver on the key

Customer Experience
Key take-aways from sentiment analysis symposium 2016
Key take-aways from sentiment analysis symposium 2016
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In July 2016, I was fortunate enough to speak at the Sentiment Analysis Symposium in New York. It is one of the most important events for those who invent text analytics solutions and for those who use them. I also attended the co-located sentiment analysis tutorial run by Jason Baldridge.

AI & NLP