使用R[文本分析][n-gram]组合相似字符串

install.packages("text")
library(text)

text_data <- c("This is an example sentence.", "Another example sentence.")

clean_data <- tm_map(text_data, content_transformer(tolower))  # 转换为小写
clean_data <- tm_map(clean_data, removePunctuation)  # 移除标点符号
clean_data <- tm_map(clean_data, removeNumbers)  # 移除数字
clean_data <- tm_map(clean_data, removeWords, stopwords("english"))  # 移除常见英文停用词
clean_data <- tm_map(clean_data, stripWhitespace)  # 移除多余的空格

ngram_model <- create_ngram_model(clean_data, n = 2)  # 创建2-gram模型

ngram <- extract_ngrams(clean_data, ngram_model)  # 提取n-gram

# 进行进一步的分析和处理，例如计算频率、词频统计等