The practical works (TP) of SD-TSIA214 - Machine Learning for Text Mining course at Télécom Paris.
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Updated
Jun 21, 2024 - Jupyter Notebook
The practical works (TP) of SD-TSIA214 - Machine Learning for Text Mining course at Télécom Paris.
Additional C++11 Random Distributions
Discover a clever strategy for mastering Wordle! Our project dives into various Information Retrieval techniques to efficiently guess the daily word—all aiming for Wordle domination!
Análisis de 'El Señor de los Anillos' mediante la Ley de Zipf: un estudio detallado de la distribución de frecuencias de palabras en la trilogía de Tolkien para explorar la aplicabilidad de esta fascinante ley estadística en la literatura épica.
Analysis of Zipf's law, Benford distribution, Binomial and Hypergeometric distribution
Suomi24 corpus analysis
Analysing a large-scale dataset of online interactions using Reddit comments to infer social, behavioural, and langauge analytics.
Dart implementation of a Zipf-distributed random number generator.
Collection of scripts, tables, and figures for the working version of paper "Corrections of Zipf's and Heaps' Laws Derived from Hapax Rate Models"
Perl scripts for processing word frequency lists
Studies in Type-Token Relations, Hapaxes and n-Legomena
This is a part of my Academic Project in the course Fundamentals of Data Analytics
Persian Search Engine, Project of Information Retrieval Course
Generated pseudo text using LSTMs (Long Short Term Memory networks) and GPT-2, evaluated how close this machine-generated text is to human-generated text by checking if they follow statistical features followed by human-generated text such as Zipf’s and Heap’s Laws for Words
Zipf Graph of a given text file
Zipf's law has been proven on the Turkish and English versions of Harry Potter and the Philosopher's Stone.
This repo is the official megengine implementation of the ECCV2022 paper: Efficient One Pass Self-distillation with Zipf's Label Smoothing.
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