State-of-the-art count-based word embeddings for low-resource languages with a special focus on historical languages.
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Updated
May 19, 2024 - Python
State-of-the-art count-based word embeddings for low-resource languages with a special focus on historical languages.
A package for reading/writing files containing pre-trained word embeddings and building "embedding matrices".
👩🏫 Advanced NLP with spaCy: A free online course
👑 spaCy building blocks and visualizers for Streamlit apps
Basic Utilities for PyTorch Natural Language Processing (NLP)
Utilizing advanced NLP techniques and SentimentIntensityAnalyzer from the NLTK library, this script analyzes Google Play Store app reviews to extract and visualize user sentiments based on pre-defined topics, such as app interface and load time, offering valuable insights into user experience.
Experiments for my master's thesis about automatic dictionary generation.
Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.
ML, DL & NLP
Simple downloader for pre-trained word vectors
spaCy-compatible tokenizers and word vectors for medical text
Use of word embeddings and document similarity to solve word analogy problems
Implemented some of the models and techniques learned in NLP to help build systems that help in daily life.
Rates the quality of a candidate based on his/her resume using unsupervised approaches
Personality plays a vital role in todays world.This uses the Twitter REST API to mine tweets for personality identification. We will use n-grams and word vectors for the hashtags, emoticons and phrases using NLP techniques. We will train the machine to classify the personality types by using a Naive- Bayes Text Classifier and to accurately predi…
semantic-sh is a SimHash implementation to detect and group similar texts by taking power of word vectors and transformer-based language models (BERT).
Refer Readme.md
word embeddings. Created Date: 12 Feb 2019
The Word Embedding Database API
Sentiment analysis using random forest and word-vectorization
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