The nltk This function takes a text and a language parameter, then uses the nltk library for tokenization, stop word removal, and lemmatization. Function 2024-12-16 12:18:01 28 views
Flair TextClassifier This function uses the Flair library to perform text classification on the input document and generates a summary by extracting the most important sentences based on the classification results. Text Classification and Summary 2024-12-16 12:17:59 28 views
NLTK Tokenization This code defines a function that randomly selects a specific number of stopwords from the NLTK stopwords dataset. The type of code 2024-12-16 12:16:00 19 views
nltk (Natural This function uses several components from the nltk library to analyze the sentiment of text. First, it uses word_tokenize to split the text into words, then it uses stopwords to remove common stopwords, followed by using WordNetLemmatizer for lemmatization, and finally, it uses the VADER sentiment analyzer to calculate the sentiment score for each word and computes the overall sentiment score for the text. The type of code 2024-12-16 12:15:46 20 views
nltk library's This function first tokenizes the input text into words using nltk's word_tokenize method, then removes stopwords, and finally lemmatizes the remaining words. Text processing 2024-12-16 12:14:40 18 views
Python's built-in The function tokenizes a given text using Byte Pair Encoding (BPE) codes, decomposing each word in the text into tokens represented by the BPE codes. Function 2024-12-16 12:13:24 6 views
NLTK (Natural The function uses NLTK's word_tokenize for tokenization, stopwords to remove stop words, and WordNetLemmatizer for lemmatization, returning a list of lemmatized words. Python Function 2024-12-16 12:12:46 17 views
The code This code defines a function that takes a text input and performs a random sentence and word analysis using the NLTK library, including the number of words in the sentence after removing stopwords and the number of unique words. The type of code 2024-12-16 12:11:20 6 views
Nltk (Natural This function takes a text input, removes stopwords from it, and performs lemmatization on the remaining words. The type of code 2024-12-16 12:10:29 6 views
Fairseq library This function uses the BaseEncoder class from the Fairseq library to tokenize text using BPE (Byte Pair Encoding). It requires two files: one for the vocabulary and another for the BPE codes. The type of code 2024-12-16 12:07:14 3 views