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 |