word-cloud

问题 I am able to make word cloud, but my problem is when I take the frequency of word counts, I get words whose frequency is 1. I want words whose frequency is greater than 2. How can I do that? tdm is just a term matrix. I tried with something like rowSums(m>2) , but its not working # define tdm as matrix m = as.matrix(tdm) # get word counts in decreasing order word_freqs = sort(rowSums(m), decreasing=TRUE) # create a data frame with words and their frequencies dm = data.frame(word=names(word

问题 I'm trying to run a example to process tweets in R with Shiny. I'm using the example in this page, but I'm not getting any output. The code that I'm using is as follows (which I've corrected from the page as it had some errors with parenthesis, inverted comas, etc.): ui.r library(shiny) shinyUI(pageWithSidebar( # Application title headerPanel('Tweets hunter'), sidebarPanel( textInput('term', 'Enter a term', ''), numericInput('cant', 'Select a number of tweets',1,0,200), radioButtons('lang',

问题 I'm trying to run a example to process tweets in R with Shiny. I'm using the example in this page, but I'm not getting any output. The code that I'm using is as follows (which I've corrected from the page as it had some errors with parenthesis, inverted comas, etc.): ui.r library(shiny) shinyUI(pageWithSidebar( # Application title headerPanel('Tweets hunter'), sidebarPanel( textInput('term', 'Enter a term', ''), numericInput('cant', 'Select a number of tweets',1,0,200), radioButtons('lang',

问题 I use the wordcloud2 package to render word clouds. It seems that wordcloud2 does not always display the most frequent words. I said "not always" because the problem is not permanent. It seems that the results are mostly random. Code : library(wordcloud2) library(htmlwidgets) DataCloud <- as.character(DataTextAnalysis[,1]) DataCloud <- as.data.frame(table(DataCloud)) DataCloud <- DataCloud[order(DataCloud$Freq, decreasing = TRUE),] DataCloud <- DataCloud[1:10, ] wordcloud2(data = DataCloud)

问题 import pandas as pd import matplotlib.pyplot as plt from PIL import Image import numpy as np import wordcloud from wordcloud import WordCloud,STOPWORDS # Read the whole text. remarks = open(r'C:\Users\marmar\Remarks.txt').read().split() #Create words over an image mask = np.array(Image.open(r'C:\users\marmar\Documents\cloud.png')) #set the stopwords list stopwords= set(STOPWORDS) #append new words to the stopwords list new_words =open(r'C:\Users\marmar\Documents\comments.txt').read().split()

问题 Here is my code in question: $(document).ready(render) function render() { wl = [['hello', 12], ['dear', 10], ['a', 9], ['Joe', 5], ['8', 2]]; $canvas = $('.wordcloud-canvas'); options = { list : wl, fontFamily : 'Times, serif', weightFactor : 2, color : '#f02222', rotateRatio : 0, rotationSteps : 0, shuffle : false, backgroundColor: 'white', drawOutOfBound : false, gridSize : 32 }; window.WordCloud($canvas[0], options); } .wordcloud-view { display: block; margin: 01px 0; width: 100%; height:

问题 Using the wordcloud package in R I would like to color different words according to a categorical variable in the dataset. Say my data is as follows: name weight group 1 Aba 10 x 2 Bcd 20 y 3 Cde 30 z 4 Def 5 x And here as a dput : dat <- structure(list(name = c("Aba", "Bcd", "Cde", "Def"), weight = c(10, 20, 30, 5), group= c("x", "y", "z", "x")), .Names = c("name", "weight", "group"), row.names = c(NA, -4L), class = "data.frame") Is there a way in wordcloud() to color the names by their

问题 Using the wordcloud package in R I would like to color different words according to a categorical variable in the dataset. Say my data is as follows: name weight group 1 Aba 10 x 2 Bcd 20 y 3 Cde 30 z 4 Def 5 x And here as a dput : dat <- structure(list(name = c("Aba", "Bcd", "Cde", "Def"), weight = c(10, 20, 30, 5), group= c("x", "y", "z", "x")), .Names = c("name", "weight", "group"), row.names = c(NA, -4L), class = "data.frame") Is there a way in wordcloud() to color the names by their

问题 I am trying to make a word cloud in Python from the significance of strings and their corresponding data values in an Excel document. The generate_from_frequencies method takes a frequencies parameter which the docs say is supposed to take an array of tuples. Partial code from wordcloud source code: def generate_from_frequencies(self, frequencies): """Create a word_cloud from words and frequencies. Parameters ---------- frequencies : array of tuples A tuple contains the word and its frequency

问题 I'm using package "wordcloud" with description "Word Cloud" from the R Packages repository. When I create wordcloud from some random text, some words are omitted automatically as they should not be a part of wordcloud. Code: library(RColorBrewer) library(NLP) library(wordcloud) library(tm) wordcloud("foo bar oh oh by by bye bingo hell no", scale=c(3,1), colors=brewer.pal(6,"Dark2"),random.order=FALSE) Output: I want to keep words like "oh" and "by" in the wordcloud. How? Edit: I prefer doing