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• "Comparison of Commercial Chatbot solutions for Supporting Customer Interaction", Johannsen, Leist, Konadl, Basche, 2018

  Publication

  Considering the advancing digitalization and the rise of new technologies, the way people interact with one another but also approach companies has...

  Publication on epub.uni-regensburg.de: "Comparison of Commercial Chatbot solutions for Supporting Customer Interaction" (external link, opens in a new window)

• "ARTIFICIAL INTELLIGENCE IN AUGMENTATIVE AND ALTERNATIVE COMMUNICATION SYSTEMS – A LITERATURE-BASED ASSESSMENT AND IMPLICATIONS OF DIFFERENT CONVERSATION PHASES AND CONTEXTS", Konadl, Wörner, Luttner, Leist, 2023

  Publication

  Even though AAC systems and corresponding AI approaches have been investigated within the extant research, they still show remarkable drawbacks,...

  Publication on epub.uni-regensburg.de: "ARTIFICIAL INTELLIGENCE IN AUGMENTATIVE AND ALTERNATIVE COMMUNICATION SYSTEMS – A LITERATURE-BASED ASSESSMENT AND IMPLICATIONS OF DIFFERENT CONVERSATION PHASES AND CONTEXTS" (external link, opens in a new window)

• "MANTRA: A Topic Modeling-Based Tool to Support Automated Trend Analysis on Unstructured Social Media Data", Wörner, Konadl, Leist, Schmid, 2023

  Publication

  The early identification of new and auspicious ideas leads to competitive advantages for companies. Thereby, topic modeling can serve as an effective...

  Publication on epub.uni-regensburg.de: "MANTRA: A Topic Modeling-Based Tool to Support Automated Trend Analysis on Unstructured Social Media Data" (external link, opens in a new window)

• "Automated identification of different lead users regarding the innovation process", Schmid, Wörner, Leist, 2022

  Publication

  Lead users are often established in an organizational innovation process to attenuate the difficulties a company faces, such as high costs or the...

  Publication on epub.uni-regensburg.de: "Automated identification of different lead users regarding the innovation process" (external link, opens in a new window)

• "COMPARISON OF TOPIC MODELLING TECHNIQUES IN MARKETING - RESULTS FROM AN ANALYSIS OF DISTINCTIVE USE CASES", Wörner, Konadl, Schmid, Leist, 2021

  Publication

  Currently, topic modelling is an effective analytical tool for the automated investigation of text data. However, identifying the underlying topics is...

  Publication on epub.uni-regensburg.de: "COMPARISON OF TOPIC MODELLING TECHNIQUES IN MARKETING - RESULTS FROM AN ANALYSIS OF DISTINCTIVE USE CASES" (external link, opens in a new window)

• "Identifying Sentiment Influences Provoked by Context Factors – Results from a Data Analytics Procedure Performed on Tweets", Konadl, Wörner, Leist, 2021

  Publication

  Context factors have lasting impacts on people’s sentiments. Exploring impacts that different contexts have on sentiments can be crucial for managing...

  Publication on epub.uni-regensburg.de: "Identifying Sentiment Influences Provoked by Context Factors – Results from a Data Analytics Procedure Performed on Tweets" (external link, opens in a new window)

• "Identifying Sentiment Influences Provoked by Context Factors – Results from a Data Analytics Procedure Performed on Tweets", Konadl, Wörner, Leist, 2021

  Publication

  Context factors have lasting impacts on people’s sentiments. Exploring impacts that different contexts have on sentiments can be crucial for managing...

  Publication on epub.uni-regensburg.de: "Identifying Sentiment Influences Provoked by Context Factors – Results from a Data Analytics Procedure Performed on Tweets" (external link, opens in a new window)

• "Supporting Product Development by a Trend Analysis Tool applying Aspect-Based Sentiment Detection", Wörner, Konadl, Schmid, Leist, 2022

  Publication

  Publication on epub.uni-regensburg.de: "Supporting Product Development by a Trend Analysis Tool applying Aspect-Based Sentiment Detection" (external link, opens in a new window)

• "COMPARISON OF TOPIC MODELLING TECHNIQUES IN MARKETING - RESULTS FROM AN ANALYSIS OF DISTINCTIVE USE CASES", Wörner, Konadl, Schmid, Leist, 2021

  Publication

  Currently, topic modelling is an effective analytical tool for the automated investigation of text data. However, identifying the underlying topics is...

  Publication on epub.uni-regensburg.de: "COMPARISON OF TOPIC MODELLING TECHNIQUES IN MARKETING - RESULTS FROM AN ANALYSIS OF DISTINCTIVE USE CASES" (external link, opens in a new window)

• "Supporting Product Development by a Trend Analysis Tool applying Aspect-Based Sentiment Detection", Wörner, Konadl, Schmid, Leist, 2022

  Publication

  Publication on epub.uni-regensburg.de: "Supporting Product Development by a Trend Analysis Tool applying Aspect-Based Sentiment Detection" (external link, opens in a new window)