Examples of using Text analytics in English and their translations into German
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What types of unstructured data can Text Analytics analyse?
How does Text Analytics find and use information in unstructured comments?
Recomendar la SlideShare«Popular Text Analytics Algorithms».
Document capture and text analytics to cut costs, drive revenue, and mitigate risks.
One of the main areas of our platform works largely with text analytics.
Text Analytics Emotions: Measure the breath of customer emotions with MaritzCX integrated text analytics. .
Our second, industrial-oriented, motivation is within the text analytics market.
Interaction analytics combines speech and text analytics to analyze the content of all conversations across all contact channels.
Ambiverse is built on years of state-of-the-art research in text analytics.
This can include statistical algorithms, machine learning, text analytics, time series analysis and other areas of analytics. .
Text Analytics uses advanced Natural Language Processing(NLP) technology to monitor and find important words and concepts in open-ended comments.
AI for natural language processing AI fornlp AI for Text Analysis AI for text analytics and NLP.
Sentiment analytics descended from text analytics, which was all about pinning down the incidence of keywords to give an indicator of mood.
But I wanted to get a firsthand experience of our new solution for text analytics, SAS Contextual Analysis 14.1.
From January, the Center for Reflected Text Analytics(CRETA) will be funded for 2 more years by the German Federal Ministry of Education and Research.
A smart,simple way to mine and explore all your unstructured data with powerful text analytics and machine learning.
In the context of the Center for Reflected Text Analytics we have been developing tools to support text-based analyses that are relevant for our research questions.
Almawave is among the 10 majorglobal vendors highlighted by Gartner in the Speech and Text analytics field and its name appears in over 35 reports.
Text Analytics: See beyond traditional metrics-by transforming thousands of unstructured, open-ended comments from your customers into meaningful and actionable insights.
He provides deep expertise on machine learning, text analytics and artificial intelligence AI.
The"Center for Reflected Text Analytics"(CRETA) focuses on the development of technical tools and a general workflow methodology for text analysis within Digital Humanities.
A smart, simple way to mine and explore all your unstructured datawith cognitive exploration, powerful text analytics and machine learning capabilities.
Ranging from scanning and document recognition to data capture, text analytics, AI and process intelligence, ABBYY solutions integrate across the entire information lifecycle.
With our Text Analytics and Classification module, you can hear the"customer voice" directly, read customer statements in real time, and dive deep into feedback about solutions, services and competitors.
Capture customer's expectations, preferences and aversions using intelligent text analytics and information extraction technologies to reveal events and relationships across unstructured texts. .
Text Analytics uses advanced technology to find and extract the valuable information buried in all of these open-ended comments- so you can turn conversations from dozens of chaotic and unstructured channels into a single, unified source of meaningful information.
The SmartData teamsees the great interest in their EarlyBird service and text analytics generally as confirming the considerable potential of the technology they have developed and that many other customers could benefit from.
Interaction analytics, such as speech and text analytics, help organizations understand the true meaning and context of every conversation that comes through the contact center.
Which means it works with Survey Builder, Dashboards and Reports, Text Analytics, and other capabilities to make sure you can close the loop with your customers and turn CX intelligence into improved customer experiences.
Schneider, who has degrees in literature, linguistics and computer science,is working on text analytics- projects that retrieve relevant pieces of information from unstructured content to enable greater insights and thereby support better decision-making processes.