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Research papers

iFactor

Using CRM data to harness clients' irritating experiences feedback thanks to machine learning enrich outcomes with a social data deep dive into customers' pain points and related emotions.

Catalogue: Fusion 2019
Authors: Charlotte Zaepfel, Julie Hennes, Mathilde Guinaudeau
Company: Ipsos MRBI
November 10, 2019
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Citation

Zaepfel, Hennes and Guinaudeau (2019a, November 10). iFactor. ANA - ESOMAR. Retrieved April 16, 2024, from


https://ana.esomar.org/documents/ifactor


Research papers
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Citation

Kuehne, M. (2019a, November 10). Answers not analytics. ANA - ESOMAR. Retrieved April 16, 2024, from


https://ana.esomar.org/documents/answers-not-analytics


Research papers

Deconstructing what machine learning does when processing text

Learn how to use machine learning text analytics, from scratch, for free, using open-source R.

Catalogue: Fusion 2019
Author: Ray Poynter
Company: The Future Place
November 10, 2019
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Citation

Poynter, R. (2019a, November 10). Deconstructing what machine learning does when processing text. ANA - ESOMAR. Retrieved April 16, 2024, from


https://ana.esomar.org/documents/deconstructing-what-machine-learning-does-when-processing-text


Videos

Deconstructing what machine learning does when processing text

Learn how to use machine learning text analytics, from scratch, for free, using open-source R.

Catalogue: Fusion 2019
Author: Ray Poynter
Company: The Future Place
November 10, 2019
×

Citation

Poynter, R. (2019a, November 10). Deconstructing what machine learning does when processing text. ANA - ESOMAR. Retrieved April 16, 2024, from


https://ana.esomar.org/documents/deconstructing-what-machine-learning-does-when-processing-text-10844


Videos
×

Citation

Kuehne, M. (2019a, November 10). Answers not analytics. ANA - ESOMAR. Retrieved April 16, 2024, from


https://ana.esomar.org/documents/answers-not-analytics-10854


Videos

iFactor

Using CRM data to harness clients' irritating experiences feedback thanks to machine learning enrich outcomes with a social data deep dive into customers' pain points and related emotions.

Catalogue: Fusion 2019
Authors: Charlotte Zaepfel, Mathilde Guinaudeau
Company: Ipsos MRBI
November 10, 2019
×

Citation

Zaepfel and Guinaudeau (2019a, November 10). iFactor. ANA - ESOMAR. Retrieved April 16, 2024, from


https://ana.esomar.org/documents/ifactor-10852


Research papers

Customised text analytics

Fusing internal and external consumer feedback creates a realistic picture of business problems. A customised text analytics model takes into account organisational structure and the impact of issues on KPIs to help your clients solve them quickly.

Catalogue: Fusion 2019
Authors: Ivaylo Yorgov, Ivan Bardarov
Company: GemSeek Consulting
November 10, 2019
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Citation

Yorgov and Bardarov (2019a, November 10). Customised text analytics. ANA - ESOMAR. Retrieved April 16, 2024, from


https://ana.esomar.org/documents/customised-text-analytics


Research papers

A practical fusion of qualitative and social data

In this guide, we will mostly be talking about how yo set up a search on the social listening tools and analyze the data that comes out, but we will also touch on how to get the most out of tools, such as Google Trends that are free for the public...

Catalogue: Fusion 2019
Authors: Ellie Osborne, Sarah de Caux, Jillian Ney
Companies: Join the Dots InSites Consulting, The Social Intelligence Lab
November 10, 2019
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Citation

Osborne, de Caux and Ney (2019a, November 10). A practical fusion of qualitative and social data. ANA - ESOMAR. Retrieved April 16, 2024, from


https://ana.esomar.org/documents/a-practical-fusion-of-qualitative-and-social-data


Videos

Customised text analytics

Fusing internal and external consumer feedback creates a realistic picture of business problems. A customised text analytics model takes into account organisational structure and the impact of issues on KPIs to help your clients solve them quickly.

Catalogue: Fusion 2019
Authors: Ivan Bardarov, Martin Dimov
Company: GemSeek Consulting
November 10, 2019
×

Citation

Bardarov and Dimov (2019a, November 10). Customised text analytics. ANA - ESOMAR. Retrieved April 16, 2024, from


https://ana.esomar.org/documents/customised-text-analytics-10845