PyTorch NumPy This code defines a random word generator function based on a Recurrent Neural Network (RNN). The function trains a model using a given corpus and then uses the model to generate a random word sequence of a specified length. The type of code 2024-12-16 12:17:43 26 views
Typer random This function accepts a text and a language parameter, then generates a random word list and counts the number of words in the given text. Function 2024-12-16 12:13:48 24 views
collections.Counter This function takes a text as input, splits it into words, counts the frequency of each word, and returns a Counter object containing the words and their frequencies. Python Function 2024-12-16 11:54:10 27 views
Python Elasticsearch This function uses Elasticsearch to analyze text and return the frequency of a randomly selected word. It first uses Elasticsearch's tokenize feature to extract words from the text, then uses collections.Counter to count the frequency of each word, and randomly selects a word to return its frequency. Function 2024-12-16 11:47:12 5 views
collections.Counter string This function takes a string parameter 'text', counts the frequency of each word in the text, and returns a list of words and their frequencies sorted in descending order of frequency. Function 2024-12-16 11:39:40 24 views
collections.Counter statistics.mean This function takes a text string as input, counts and returns the five most common words and their frequencies in the text, as well as calculates and returns the average word length. Analyze text 2024-12-16 11:32:48 26 views
Questionary collections.Counter This function uses the `questionary` library to prompt the user for text input and then returns a dictionary containing the top `num_words` most frequently occurring words in the text. Function 2024-12-16 11:32:22 20 views
collections.Counter This function takes a sentence as input, counts the occurrences of each word in the sentence, and returns the most common word and its count. Function 2024-12-16 11:29:41 23 views
collections.Counter scipy.stats.entropy This function calculates the entropy of the given dataset, which is a measure of the level of disorder in the data set, commonly used in information theory and machine learning. Custom function 2024-12-16 11:25:36 24 views
Tweepy Python This function uses the Tweepy library to fetch tweets containing a specific hashtag from Twitter, then analyzes and returns the most common words in these tweets. Function 2024-12-16 11:20:39 2 views
