How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.

Copilot Excel AI Beginners Guide: Faster Cleaning, Smart Analysis, Python Insights

AI Copilot in Excel helps clean dates, split columns, and add currency formats, so you save time and make faster, clearer decisions.
GitHub

FinAnalyticsLab/SWS_API_ETL_NLP_BI_pipeline_V2

1 1.Get_Exchanges.py - Retrieves available exchanges & their company count. 2 2.Get_Companies.py - Retreives all tickers & their core data for each exchange. 3 3.Get_All_Data.py - Iterates through all ...
Pratt Institute

Text Processing and Analysis with Python

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...
marktechpost

How to Build a Complete End-to-End NLP Pipeline with Gensim: Topic Modeling, Word Embeddings, Semantic Search, and Advanced Text Analysis

In this tutorial, we present a complete end-to-end Natural Language Processing (NLP) pipeline built with Gensim and supporting libraries, designed to run seamlessly in Google Colab. It integrates ...
IEEE

Artificial Intelligence and Machine Learning: Developing the Future of Text Analytics and Natural Language Processing (NLP)

Abstract: Natural language processing (NLP) and text analytics are two areas within the fast developing field of machine learning (ML) and artificial intelligence (AI). A new age of machine language ...
InfoWorld

Building an analytics architecture for unstructured data and multimodal AI

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.