NLP-NINJA
A complete guide for Natural Language Processing in Python
Table of Contents
| S.No. | Topic | Level | Meaning |
|---|---|---|---|
| 1 | Tokenization | ? | Beginner |
| 2 | Stemming | ? | Beginner |
| 3 | Lemmatization | ? | Beginner |
| 4 | Bagofwords | ? | Novice |
| 5 | TF-IDF | ? | Novice |
| 6 | Text-processing | ? | Learner |
| 7 | Word2vec | ? | Learner |
| 8 | RNN | ? | Intermediate |
| 9 | LSTM | ? | Intermediate |
| 10 | GRU | ? | Intermediate |
| 11 | Word Embedding | ? | Pro |
| 12 | Bidirectional LSTM | ? | Pro |
| 13 | Encoder and Decoder | ? | Pro |
| 14 | Attention Model | ❤ | Master |
| 15 | Transformers | ❤ | Master |
| 16 | BERT | ? | Legend |
