Erechtheus / geolocation
Geolocation prediction for a given Tweet
☆36Updated last year
Related projects ⓘ
Alternatives and complementary repositories for geolocation
- Tensorflow code to train and predict geolocation of tweets; network also produces compact representation of tweets for hashing purposes☆16Updated 6 months ago
- An Easy to Use, Accurate Python Geolocation Library☆40Updated last year
- ☆37Updated 8 years ago
- Event extraction pipeline.☆35Updated 7 years ago
- ☆21Updated 8 years ago
- Automatic labeling for topic model☆57Updated 9 years ago
- Active Learning for text classification using scikit-learn☆23Updated 5 years ago
- Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019☆29Updated 5 years ago
- ☆12Updated 5 years ago
- Code to compute topic coherence for several topic cardinalities and aggregate scores across them☆22Updated last year
- A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.☆30Updated 5 years ago
- Detects if a sentence is in a subjective or objective form☆24Updated last year
- Code needed to reproduce "Modeling documents with Generative Adversarial Networks"☆39Updated 7 years ago
- LNEx: Location Name Extractor☆24Updated 4 years ago
- EmoInt provides a high level wrapper to combine various word embeddings and creating ensembles from multiple trained models☆27Updated 4 years ago
- classify a job description (or noisy job title) into a ONET job title☆17Updated 8 years ago
- Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks (EMNLP2017)☆18Updated 6 years ago
- Geolocating twitter users by the content of their tweets☆79Updated 3 years ago
- ☆27Updated 5 years ago
- Train word embeddings with Gensim and vizualize them with TensorBoard☆34Updated 5 years ago
- Language-agnostic political event coding using universal dependencies☆18Updated 5 years ago
- A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.☆82Updated 4 months ago
- Text-based Geolocation Prediction of Social Media Users with Neural Networks☆12Updated 6 years ago
- ☆40Updated 9 years ago
- ☆15Updated 5 years ago
- A framework to identify relations between ideas in temporal text corpora.☆29Updated 6 years ago
- Anchor-based topic modeling☆10Updated 4 years ago
- geolocation of Twitter users based on text and network information☆14Updated 6 years ago
- Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.☆76Updated 6 years ago
- Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.☆37Updated 8 years ago