caitlinhudon

import pandas as pd
import matplotlib.pyplot as plt
from wordcloud import WordCloud
from sklearn.feature_extraction.text import CountVectorizer
from nltk.stem.snowball import SnowballStemmer
from nltk.tokenize import word_tokenize
from nltk.util import ngrams
from collections import Counter

def generate_ngrams_and_plots(text_input):

caitlinhudon

library(tidytext)
library(dplyr)
library(tokenizers)
library(ggplot2)
library(wordcloud)

# Function to stem generic text input, generate n-grams, and plot results
generate_ngrams_and_plots <- function(text_input) {
  # Convert text input to a tibble
  text_input_df <- tibble(text = text_input)