Python library for extracting quantitative, reproducible metrics of multi-level alignment between speakers in naturalistic language corpora.
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Updated
Nov 5, 2024 - Python
Python library for extracting quantitative, reproducible metrics of multi-level alignment between speakers in naturalistic language corpora.
Restrict your child to watching Adult Content on YouTube using Android Accessibility.
This project is an auto-filling text program implemented in Python using N-gram models. The program suggests the next word based on the input given by the user. It utilizes N-gram models, specifically Trigrams and Bigrams, to generate predictions.
Сравнение нескольких способов представления слов для построения языковых моделей
The examples I prepared and brought together about the natural language processing topics I learned.
A workflow using Alteryx, Python and Tableau to extract and analyse n-grams from a large set of raw email text.
NGram Analytics Transform Plugin: Transforms input features into n-grams
📈 Gathers & Plots the Google Ngram Graph for any Ngram in Python
N-Gram Analysis of Biological Sequences
A study on the historical authenticity of a text. The historical authenticity is evaluated by comparing the frequencies of unigrams, bigrams and trigrams of a given text to the frequencies of the ngrams of texts written in the period of +/- 5 years from the claimed date of the release of the given text and to the frequency of the ngrams of recen…
Crawl websites and extract meaningful information from HTML and site content
Natural language processing project to calculate patient readmission probability and summary of notes.
A Python web crawler with TF-IDF and ngram analysis
Is there really a difference? Low Cost Carriers versus High Cost Carriers using airline reviews
🇹🇷 Occurrences of Turkish presidents in books (1920-2008)
Performs an ngram frequency analysis on a text corpus stored in a spreadsheet
Some of the projects from my Big Data class
This software is an implementation of Author's stylometric change detection algorithm. It can be used in text forensics.
Distributed storage and querying of N-grams.
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