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

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

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

nltk.corpus.stopwords nltk.tokenize.word_tokenize

This function removes stopwords from the given text. Stopwords are common words that are generally considered to have little semantic value, such as 'and', 'the', 'is', etc.

Text processing 2024-12-16 12:11:45 19 views

nltk library

This function uses the nltk library for text processing, including tokenization, stopword removal, and lemmatization.

Function 2024-12-16 12:03:49 4 views

NLTK library

This function takes a text as input, then uses NLTK's word_tokenize for tokenization, removes stopwords using stopwords, performs stemming using PorterStemmer, and finally analyzes sentiment using SentimentIntensityAnalyzer, returning the sentiment score.

Function 2024-12-16 11:53:52 3 views

NLTK

This function randomly retrieves a word and its synset from WordNet using NLTK. It first randomly selects a word from the list of all lemma names in WordNet and then tokenizes it using NLTK's `word_tokenize`. Next, it randomly selects a synset from the synsets of the randomly selected word.

Function 2024-12-16 11:47:45 3 views

NLTK (Natural

This function first uses the NLTK's word_tokenize function to split the text into words, then removes stop words, and performs stemming and lemmatization on the words. Finally, it evaluates the complexity of the text by calculating the number of unique words.

Function 2024-12-16 11:47:29 5 views

nltk word_tokenize

This function uses the word_tokenize from the nltk library for sentence tokenization, then uses stopwords to remove stop words, and finally uses WordNetLemmatizer for lemmatization.

Function 2024-12-16 11:42:28 3 views