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.
Summaries and notes on Deep Learning research papers in natural language processing(NLP) domain.
KAG CTF EU 3 2017-2018 word embeddings
A solution for Named Entity Recognition (NER) in Keras using LSTM Networks, Word Embeddings and Char Embeddings
Naming colors with Machine Learning
Extracting synonyms of TCM symptoms using word embeddings
Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914
It detects whether entered questions are similar or not
A Turkish NLP tool built as a computer project. Used: Python 3, Word2Vec, Natural Language Processing Techniques, Linux Bash Script.
A javascript visualization tool for comparing embedding models.
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
Materials for D-Lab / UC Berkeley Graduate Division's Data Science + Social Justice summer workshop. These materials provide an introduction to Python, natural language processing, text analysis, word embeddings, and network analysis. They also include discussions on critical approaches to data science to promote social justice.
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.
Evaluation of the interpretability of FlyVec word embeddings compared to word2vec, GloVe, and BERT embeddings
Enhanced Movie Recommendations with Collaborative Topic Modeling
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