Authors: Student1, Student2, Student3
The contents of this repository detail an analysis of the module one project. This analysis is detailed in hopes of making the work accessible and replicable.
| # coding: utf-8 | |
| import numpy as np | |
| def load_glove_embeddings(fp, embedding_dim, encoding=None, include_empty_char=True): | |
| """ | |
| Loads pre-trained word embeddings (GloVe embeddings) | |
| Inputs: - fp: filepath of pre-trained glove embeddings | |
| - embedding_dim: dimension of each vector embedding |
| /* json.dumps(StatusObject._json) */ | |
| { | |
| "created_at": "Thu Jul 28 00:08:39 +0000 2016", | |
| "in_reply_to_status_id": null, | |
| "id_str": "758454081656467456", | |
| "retweeted": false, | |
| "entities": { | |
| "hashtags": [ | |
| { |