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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? In the age of big data, companies are always on the hunt for advanced tools and techniques to extract insights from data reserves.

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate. This streamlined offering incorporates various analytical functions, including descriptive, diagnostic, predictive, and prescriptive.

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

ODSC - Open Data Science

About the authors: Clara Higuera Cabañes, PhD is a senior data scientist at BBVA AI Factory. She has worked in the data science field for many years applying NLP techniques to different sectors such as media or banking. She currently leads the collections data science team at BBVA AI factory.

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NLP Landscape: Switzerland

NLP People

Several labs have natural language processing and understanding as research areas such as Artificial Intelligence Laboratory , lead Boi Faltings , the Data Science Lab lead by Robert West and the Machine Learning and Optimization Laboratory , lea d by Martin Jaggi. University of St. Gallen The University of St.

NLP 52
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Expanding Creativity with Generative AI, Automated Prompt Engineering, OpenAI’s o1-Preview, and 50%…

ODSC - Open Data Science

Streamlining Government Regulatory Responses with Natural Language Processing, GenAI, and Text Analytics Through text analytics, linguistic rules are used to identify and refine how each unique statement aligns with a different aspect of the regulation. How can big data analytics help?

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Contextual SDG Research Identification: An AI Evaluation Agent Methodology

Marktechpost

Using data science and big data text analytics, the researchers aim to process scholarly bibliographic data with a nuanced understanding of language and context. The research methodology involves a detailed data retrieval and preprocessing approach using Scopus as the primary source.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. Defining clear objectives and selecting appropriate techniques to extract valuable insights from the data is essential.