Statistical text analysis and semantic networks with Python
LITTEXT: Stata module for automated construct discovery and relationship inference from academic text
Simple python script to count how many each word ocurs in a .txt file
A Django-based web application that analyzes text by removing punctuation, capitalizing characters, and calculating character counts.
A beginner-friendly project that demonstrates Python string manipulation, dictionaries, loops, functions, and file handling.
A collection of Python programs and practice exercises focused on covering strings, indexing, slicing, string methods, escape sequences, and conditional statements.
Analyzes a text file to identify characters, count name occurrences, detect dialogue, and assign each speaking character a catchphrase based on their most frequently used meaningful word.
A next-generation end-to-end system for financial analytics, including aggregation of news resources and asset value forecasting based on all available information in the market.
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