Alyona Medelyan PhD

Alyona has a PhD in NLP and Machine Learning. Her peer-reviewed articles have been cited by over 2600 academics. Her love of writing comes from years of PhD research.

Does it matter which customer experience metric you choose? Members Public

Are you responsible for measuring the progress in improving customer experience? If yes, I’m sure you needed to come up with a rationale on which metrics to choose for this: Is it an all ubiquitous Net Promoter Score (NPS), the traditional customer satisfaction CSAT, or a more recent invention

Alyona Medelyan PhD
Alyona Medelyan PhD
Customer Experience

Thematic Analysis for Feedback: The Secret Weapon Most Companies Miss (Part 5/5) Members Public

Discover Thematic Analysis, the ONLY text analysis approach that's accurate, fast, and transparent. Learn how it outperforms other methods and uncovers hidden insights in your feedback.

Alyona Medelyan PhD
Alyona Medelyan PhD
Text Analytics

How to make the most out of YC Startup School Members Public

Last year, in 2017, my co-founder signed us up for the YCombinator’s Startup School (SUS). 10 weeks later, our lives had changed completely. We were admitted into the YC’s core program, moved to Silicon Valley and were growing faster than we could onboard customers. This year, YCombinator launched

Alyona Medelyan PhD
Alyona Medelyan PhD

Topic Modeling for Text Analysis: The Hype vs. Reality (Part 4/5) Members Public

This is the 4th article in my series of Text Analytics posts explaining popular approaches to feedback analysis. Last week, we talked about text categorization, a Machine Learning approach that requires training data. We concluded that it can’t detect emerging themes in people’s feedback and that it’s

Alyona Medelyan PhD
Alyona Medelyan PhD
Feedback Analysis

Text Categorization Demystified: Does It Really Deliver on Advanced Analytics? (Part 3/5) Members Public

Explore text categorization for analyzing feedback: its machine learning power, the crucial role of training data, and the four key challenges it faces in real-world applications.

Alyona Medelyan PhD
Alyona Medelyan PhD
Text Analytics

Manual Rules for Text Analytics: Why They Often Miss the Mark (Part 2/5) Members Public

Manual rules are a popular text analytics approach, but they have significant flaws. Discover why they struggle with multiple meanings, sentiment, and evolving language.

Alyona Medelyan PhD
Alyona Medelyan PhD
Text Analytics

Word Spotting for Text Analytics: Quick & Dirty (But When Does It Fail?) (Part 1/5) Members Public

Is 'word spotting' a valid text analytics method? Learn its pros, cons, and when it's actually useful (hint: rarely for serious insights). Discover better alternatives.

Alyona Medelyan PhD
Alyona Medelyan PhD
Text Analytics

3 learnings from the Deep Learning for Sentiment Analysis workshop Members Public

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

Alyona Medelyan PhD
Alyona Medelyan PhD
Sentiment Analysis

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