Verbal periphrases (a subtype of multiword expressions) clustering for spanish.
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Updated
May 11, 2017 - TeX
Verbal periphrases (a subtype of multiword expressions) clustering for spanish.
Improving Topic Models with Word Embeddings
KAG CTF EU 3 2017-2018 word embeddings
Naming colors with Machine Learning
Some useful examples of Deep Learning (.py)
A Turkish NLP tool built as a computer project. Used: Python 3, Word2Vec, Natural Language Processing Techniques, Linux Bash Script.
Source code of paper "Incorporating prior knowledge into word embedding for Chinese word similarity measurement", accepted by ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP).
Morpological variants of Sinhala words. Extracted from FastText 300 si
Use of word embeddings to classify sentiments of sentences and automatically attach emojis
Emotion detection from text using deep learning and machine learning models
Text label prediction with different input methods : frequency, topic and word embedding
Sentiment Analysis, Word Embeddings, Clustering
Using the methods k-nearest neighbors, collocation, stereotype quantification from word embeddings, and concordance, I found that the language surround the word “gay” has significant shifts in the years 1960 and 1990. These two years correspond with significant events in the gay rights movement and AIDS epidemic.
Enhanced Movie Recommendations with Collaborative Topic Modeling
TensorFlow-based IMDb Sentiment Analysis
This project focuses on utilizing natural language processing (NLP) techniques to address the critical issue of suicide prevention. By leveraging advanced NLP models like BERT and ELECTRA, we aim to analyze linguistic patterns indicative of suicidal ideation.
Deep learning for natural language processing
Data and code for the machine learning exam assignment of MA Digital Text Analysis (2023).
Generate a TV script using RNNs
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