YoVDO

Identify Stocks on Reddit with SpaCy - NER in Python

Offered By: James Briggs via YouTube

Tags

Natural Language Processing (NLP) Courses Python Courses Data Extraction Courses Named Entity Recognition Courses Stock Analysis Courses spaCy Courses

Course Description

Overview

Learn how to process unstructured text data from Reddit and extract organization names using SpaCy's Named Entity Recognition (NER) in Python. Explore techniques for identifying stocks mentioned in various formats, including organization names and ticker symbols. Discover how to differentiate between tickers and other abbreviations or slang. Follow along as the video guides you through importing SpaCy, loading models, working with document objects, and creating organization lists. Gain hands-on experience in importing data, extracting entities, filtering results, and using Counter objects for analysis. By the end of this tutorial, you'll be equipped to automatically classify and assign results to the correct stocks for further analysis of Reddit data.

Syllabus

Introduction
Importing SpaCy
SpaCy Models
Load Model
Document Object
Organization List
Importing Data
Getting Entities
Filtering Entities
Counter Object


Taught by

James Briggs

Related Courses

Data Wrangling with MongoDB
MongoDB via Udacity
Data Science Essentials for SAP
OnSAP Academy via Independent
Herramientas de la Inteligencia de Negocios
Galileo University via edX
Digital Media Analytics: Using 'Listening Data'
Purdue University via FutureLearn
Advanced Business Analytics
University of Colorado Boulder via Coursera