Prediction using a Ngram language model the probability that a given text is the work of a certain author. Also generates a text similar to the work of a given author
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Updated
Jun 28, 2018 - Python
Prediction using a Ngram language model the probability that a given text is the work of a certain author. Also generates a text similar to the work of a given author
KDD Cup 2013 - Author-Paper Identification Challenge (Track 1)
PAN 2019, Cross-Domain Authorship Attribution Task
project implementation and codes for finding who wrote the given texts (using NLP)
This software is an implementation of Author Profiling Model in 4 languages. 1. English 2. Arabic 3. Portugese 4. Spanish Authors are profiled on the basis of Gender and Region. The Model is trained over PAN 2107 provided Twitter data of various users. Currently for size concerns 20 data files from each language is included into pan folder for t…
MSc Course Projects
Task-Guided Pair Embedding in Heterogeneous Network (CIKM 2019)
The package contains a set of scripts and libraries to perform author-identification related tasks.
Authorship Attribution in Social Media & Chat Biometrics & Behavioral Biometrics
Code for the Paper : NBC-Softmax : Darkweb Author fingerprinting and migration tracking (https://arxiv.org/abs/2212.08184)
The objective of the project is to train an LSTM model with the help of GloVe embeddings, to predict probabilities that a given text is written by particular authors. Furthermore, these probabilities are used to predict the author of the text in a multiclass classification setup.
Identifying an author of a given anonymous subreddit message using machine learning and NLP techniques.
Author identification given multiple short text snippets via using stylometric and lexicographical features.
✏️❔ Find out who the author(s) is/are from an input URL
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