A scikit learn based interface to facebook fasttext.
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Updated
Nov 8, 2017 - Python
A scikit learn based interface to facebook fasttext.
An unsupervised algorithm for textual similarity.
word embeddings. Created Date: 12 Feb 2019
Visualizations of diachronic word embeddings
NLP Basics trained on various TFDS
News article analyser using OpenAI API
A TensorFlow implementation of the skip-gram model
Interactive word vector analogy quiz game powered by Word2Vec. Test your understanding of semantic word relationships through vector arithmetic!
gsitk is a framework to perform a wide variety of sentiment analysis tasks including dataset acquisition, text preprocessing, model design, and performance evaluation. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001643
Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914
Sentiment Analysis, Word Embeddings, Clustering
Using word embeddings to rank answers to questions in an online forum
Natural Language Processing
Word-vectors created from a large corpus of competative debate evidence
Classifying tweets as Racist and Non-Racist using FIVE different algorithms and performing comparative analysis among the algorithms in terms of accuracy and time.
Topic classification using GloVe embeddings and a bidirectional LSTM neural network trained on BBC articles
Management of lexicographic resources with the aim of builing a sense inventory. Collab with the ELEXIS project through ILC-CNR for my Bachelor Thesis in Digital Humanities. The Sense Inventory has been published as a resource in the Home Repository of ILC4CLARIN ⬇️
A clue generator for Codenames using word embeddings.
Labs in Natural Language Processing.
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