Lumoa

JANUARY 23, 2018

This situation is where automated text analytics is brought in: it can help in sorting out the key topics talked about and reveal the general sentiment per topic. Text analytics helps in understanding the feedback. Careful and well implemented text analytics can easily reveal dozens of improvement ideas.

Text Analytics 114

Text Analytics Sentiment Analysis NPS Net Promoter Score 114

PeopleMetrics

JULY 31, 2018

Enter text analytics. No matter how you are listening to customers (solicited, unsolicited, verified, observed), the data you will ultimately collect will be one of two types: structured or unstructured. Machines (Text Analytics). Let’s dig into the value that text analytics provides.

Text Analytics 79

Text Analytics VOC Unstructured Data CEM 79

Lumoa

JANUARY 8, 2024

It’s full of insights, but only if we can effectively gather, structure, and analyze it. That’s where text analysis, or text mining, comes into play. It’s also about finding a tool that meshes with your business’s heartbeat – your KPIs, budget, and data processing goals.

Sentiment Analysis 147

Sentiment Analysis Text Analytics Machine Learning ML 147

Confirmit

JUNE 6, 2018

Confirmit Genius is an advanced Text Analytics platform that uses the latest Machine Learning technologies to help you draw meaning from unstructured content. What are the two main modules of Confirmit Genius?

VOE 40

VOE Text Analytics Structured Data Voice of the Employee 40

DMG Consulting

FEBRUARY 25, 2019

The future of this process is analytics-enabled QM (AQM). Speech and text analytics are used to listen to/read customer interactions and provide feedback to the enterprise (general trends) and agents (what they do right and how to improve). Email This field is for validation purposes and should be left unchanged. VoC Unfiltered.

AI 48

AI Text Analytics Predictive Analytics Machine Learning 48

Lumoa

FEBRUARY 9, 2023

Text Analytics Text Analytics (text mining) includes a set of techniques that structure information arriving in text format— for instance free text customer feedback. The purpose is to convert unstructured text into meaningful structured data to support business analysis and decision-making.

Net Promoter Score 167

Net Promoter Score Customer Experience B2C Social Media 167

VOZIQ

APRIL 21, 2022

This information includes customer data captured from contact center agent notes, surveys, emails, chats, and web forms. Traditional customer retention strategies only use structured data because it’s easier for their models to understand and be trained with. Unstructured text data helps you minimize this possibility.

Unstructured Data 52

Unstructured Data Contact Center Text Analytics Customer Retention 52