Tokenizer for polish language

Deep Learning
1

Hello, is anyone did some nlp (interested in sentiment analisys) with the polish language? I’m looking for the way to tokenize polish.

2

Hello,
Yes, there are several approaches to tokenize Polish text for NLP tasks like sentiment analysis. Tokenization for Polish, as with other morphologically rich languages, can be a bit more challenging due to complex word inflections, declensions, and compound words. Here are some methods you can use:

  1. SpaCy (with Polish Language Model)
    SpaCy provides support for Polish via pl_core_news_sm or pl_core_news_lg language models, which include tokenization. You can install the Polish language model and tokenize text using SpaCy as follows:
    python
    import spacy
    nlp = spacy.load(‘pl_core_news_sm’) # Use ‘pl_core_news_lg’ for the larger model
    doc = nlp(“Twój przykładowy tekst tutaj.”)
    tokens = [token.text for token in doc]
    print(tokens)
    SpaCy handles basic tokenization, sentence splitting, POS tagging, and named entity recognition (NER) for Polish.

  2. Polish Lemmatizers (e.g., Morfeusz2)
    Morfeusz2 is a popular morphological analyzer and lemmatizer for Polish, which can also assist with tokenization by identifying word stems and their grammatical features.
    To use it in Python:
    bash
    pip install morfeusz2
    Then in your code:
    python
    import morfeusz2
    morf = morfeusz2.Morfeusz()
    tokens = morf.analyse(‘Twój przykładowy tekst tutaj’)
    print(tokens)
    This will give you detailed morphological information about each word, which is useful if you need more than just simple tokenization.

  3. NLTK Tokenizer
    NLTK’s WordPunctTokenizer or TreebankWordTokenizer can be used for basic tokenization, but they are not specifically trained for Polish, so they might not handle all Polish-specific cases properly. However, they work for simpler tasks:
    python
    from nltk.tokenize import WordPunctTokenizer
    tokenizer = WordPunctTokenizer()
    tokens = tokenizer.tokenize(“Twój przykładowy tekst tutaj.”)
    print(tokens) yourtexasbenefits login

  4. Hugging Face Transformers (BERT or other Polish models)
    For more advanced NLP tasks, Hugging Face provides several pretrained models specifically for Polish, such as PolishBERT or HerBERT. These models are trained on large Polish corpora and include tokenizers optimized for the language.
    python
    from transformers import AutoTokenizer
    tokenizer = AutoTokenizer

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3

Thanks for sharing detailed information.

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