This is the home page for the project of NLP.
Source: NLTK :: Natural Language Toolkit
Stop words:
words such as “what” or “the” won’t have any predicting power since they will presumably be common to all the documents. For this reason, they may represent noise that can be eliminated. We have downloaded a list of English stop words from the nltk package and then deleted them from the corpus.
https://www.geeksforgeeks.org/removing-stop-words-nltk-python/
The following tutorial about text classification is worth reading.
https://towardsdatascience.com/text-classification-in-python-dd95d264c802
NLTK POS Tags Examples are as below:
| Abbreviation | Meaning |
|---|---|
| CC | coordinating conjunction |
| CD | cardinal digit |
| DT | determiner |
| EX | existential there |
| FW | foreign word |
| IN | preposition/subordinating conjunction |
| JJ | This NLTK POS Tag is an adjective (large) |
| JJR | adjective, comparative (larger) |
| JJS | adjective, superlative (largest) |
| LS | list market |
| MD | modal (could, will) |
| NN | noun, singular (cat, tree) |
| NNS | noun plural (desks) |
| NNP | proper noun, singular (sarah) |
| NNPS | proper noun, plural (indians or americans) |
| PDT | predeterminer (all, both, half) |
| POS | possessive ending (parent\ ‘s) |
| PRP | personal pronoun (hers, herself, him, himself) |
| PRP$ | possessive pronoun (her, his, mine, my, our ) |
| RB | adverb (occasionally, swiftly) |
| RBR | adverb, comparative (greater) |
| RBS | adverb, superlative (biggest) |
| RP | particle (about) |
| TO | infinite marker (to) |
| UH | interjection (goodbye) |
| VB | verb (ask) |
| VBG | verb gerund (judging) |
| VBD | verb past tense (pleaded) |
| VBN | verb past participle (reunified) |
| VBP | verb, present tense not 3rd person singular(wrap) |
| VBZ | verb, present tense with 3rd person singular (bases) |
| WDT | wh-determiner (that, what) |
| WP | wh- pronoun (who) |
| WRB | wh- adverb (how) |
The above NLTK POS tag list contains all the NLTK POS Tags. NLTK POS tagger is used to assign grammatical information of each word of the sentence. Installing, Importing and downloading all the packages of POS NLTK is complete.
https://www.guru99.com/pos-tagging-chunking-nltk.html