Questions tagged [nltk]
Python's Natural Language Toolkit serves as a powerful resource for the field of computational linguistics.
When working in Python, I utilize makovify to construct Markov models from extensive textual data in order to create random sentences. Additionally, I leverage nltk to ensure that the Markov models adhere to sentence structure. Due to the time-consuming pr ...
import nltk from nltk.corpus import brown input_word = input("Please type a word:") tagged_words = brown.tagged_words() for current_word in tagged_words: if This is how my code begins, but unfortunately I am stuck here. ...
Trying to simplify this problem as much as possible because I know how frustrating long and complex issues can be. I have a collection of tweets stored in a variable called 'all_tweets'. Some tweets are in the 'text' category while others are in 'extended ...
I have collected the dataset below: Date D _ 0 01/18/2020 shares recipes ... - news updates · breaking news emails · lives to remem... 1 01/18/2020 both sides of the pineapple slices with olive oil. ... some of my other su ...
Initially, I believed my code to open a file, read its contents, and tokenize it into sentences was straightforward. import nltk text = open('1865-Lincoln.txt', 'r') tokens = nltk.sent_tokenize(text) print(tokens) However, I consistently encounter the ex ...
Whenever I utilize the following: nltk.word_tokenize("cannot") The output I receive is: ["can", "not"] What I am aiming for is: ["cannot"] ...
The default classifier in textblob is not very effective as it is trained on movie reviews. To improve its accuracy, I compiled a large dataset of examples specific to my context (57,000 stories categorized as positive or negative) and used nltk for traini ...
I am working with a pandas DataFrame that has two columns of strings. My goal is to add a third column which will calculate the Edit Distance between the values in the first two columns. from nltk.metrics import edit_distance df['edit'] = edit_distanc ...
I am currently working on a program that aims to calculate the number of types, tokens, and determine the type-to-token ratio. However, I am facing a challenge in conveying to Python that the answer to ttr is not an integer. from nltk.corpus import inau ...
To enhance the results in topic detection and text similarity, I am eager to create a comprehensive gensim dictionary for the French language. My strategy involves leveraging a Wikipedia dump with the following approach: Extracting each article from frwi ...