dlab-berkeley / Python-Text-Analysis-Legacy-2023
D-Lab's 12 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word embeddings, and more, using scikit-learn, NLTK, Gensim, and spaCy in Python.
☆22Updated 2 years ago
Alternatives and similar repositories for Python-Text-Analysis-Legacy-2023:
Users that are interested in Python-Text-Analysis-Legacy-2023 are comparing it to the libraries listed below
- D-Lab's 3 hour introduction to Qualtrics Fundamentals. Learn how to design and manage your own surveys in Qualtrics.☆14Updated last year
- D-Lab's 3 hour introduction to data visualization with R. Learn how to create histograms, bar plots, box plots, scatter plots, compound f…☆28Updated last year
- Workshop on fetching and mapping census data with tidycensus☆14Updated 2 years ago
- D-Lab's 6 hour introduction to data wrangling with R. Learn how to manipulate dataframes using the tidyverse in R.☆37Updated last year
- D-Lab's 9 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word emb…☆44Updated 3 years ago
- 😎 Awesome lists about all kinds of topics and tools interesting to D-Labbers☆18Updated 2 months ago
- D-Lab R-intensive teaching materials☆22Updated 7 years ago
- The joy and power of functional programming in R☆28Updated 2 years ago
- Materials for D-Lab / UC Berkeley Graduate Division's Data Science + Social Justice summer workshop. These materials provide an introduct…☆10Updated 2 years ago
- Introduction to Programming for UC Berkeley's D-Lab☆24Updated 6 years ago
- Text Analysis Workshops for UC Berkeley's D-Lab☆27Updated 7 years ago
- This is the repository for D-Lab's Geospatial Fundamentals in R with sf workshop.☆53Updated last year
- Tutorial on extracting data via APIs and webscraping☆24Updated 4 years ago
- D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations,…☆140Updated 2 years ago
- Material for a 3 day workshop on computational text analysis for humanists and social scientists☆33Updated 7 years ago
- D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compo…☆56Updated 2 years ago
- Machine Learning for Social Science☆83Updated 2 years ago
- Materials associated with the Coding Demonstrations training series☆39Updated last year
- Advanced-data-wrangling-in-R, Workshop☆15Updated 3 years ago
- Python module to extract articles from NexisUni and Factiva.☆36Updated 5 years ago
- A text mining course for social scientists and digital humanists☆46Updated last year
- Tools and technologies for social science research, a SAGE whitepaper☆35Updated 3 years ago
- Materials associated with the Web-scraping for Social Science Research training series☆25Updated last year
- D-Lab workshop on "Data Wrangling and Manipulation in R"☆12Updated 8 years ago
- D-Lab's 3 hour introduction to data wrangling in Python. Learn how to import and manipulate dataframes using pandas in Python.☆52Updated 2 years ago
- Manual of best practices in research transparency☆45Updated 6 years ago
- Chris Bail's graduate-level computational social science course☆23Updated 3 years ago
- Introduction to Computational Tools and Techniques for Social Research☆96Updated 4 years ago
- This is a folder for my Computational Sociology Course☆67Updated 8 years ago
- Syllabus and material for a semester-long course on text analysis for the social science and humanities.☆31Updated 7 years ago