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Lexalytics Celebrates Its Anniversary: 20 Years of NLP Innovation

Lexalytics

We’ve pioneered a number of industry firsts, including the first commercial sentiment analysis engine, the first Twitter/microblog-specific text analytics in 2010, the first semantic understanding based on Wikipedia in 2011, and the first unsupervised machine learning model for syntax analysis in 2014.

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Generative NLP Models in Customer Service: Evaluating Them, Challenges, and Lessons Learned in…

ODSC - Open Data Science

Generative NLP Models in Customer Service: Evaluating Them, Challenges, and Lessons Learned in Banking Editor’s note: The authors are speakers for ODSC Europe this June. Be sure to check out their talk, “ Generative NLP models in customer service. Challenges and lessons learned in a real use case in banking ,” there!

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Using AI-Mechanized Hyperautomation for Organizational Decision Making

Unite.AI

AI and ML Training Algorithms at Atomic-Level for DeepLearning’ & ‘Thinking’ Between junctions of every workflow, decision-making is happening at a granular level, where software robots profile strings of structured and unstructured data in high volume to orchestrate automation across business processes.

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NLP Landscape: Switzerland

NLP People

It’s Institute of Computational Linguistics , which includes the Phonetics Laboratory , lead by Martin Volk and Volker Dellwo, as well as the URPP Language and Space perform research in NLP topics, such as machine translation, sentiment analysis, speech recognition and dialect detection. University of St. Gallen The University of St.

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NLP Landscape: Germany (Research & Education)

NLP People

Are you looking to study or work in the field of NLP? For this series, NLP People will be taking a closer look at the NLP education & development landscape in different parts of the world, including the best sites for job-seekers and where you can go for the leading NLP-related education programs on offer.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results.

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Text Summarization for NLP: 5 Best APIs, AI Models, and AI Summarizers in 2024

AssemblyAI

In Natural Language Processing (NLP), Text Summarization models automatically shorten documents, papers, podcasts, videos, and more into their most important soundbites. The models are powered by advanced Deep Learning and Machine Learning research. What is Text Summarization for NLP?

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