#
word-cloud
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HausReport
commented
Mar 21, 2016
Does kumo provide a mechanism to handle clicking on words in the cloud widget? Ideally, I'd like the user to be able to click on, say, "Apple" and be able to register a listener that gets the string "Apple".
A Python script that parses post titles, self-texts, and comments on reddit and makes word clouds out of the word frequencies.
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Dec 12, 2016 - Python
Create beautiful tag/word clouds using React ☁️
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Jun 6, 2020 - TypeScript
Tag/word cloud component for react https://madox2.github.io/react-tagcloud/
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Jun 7, 2020 - JavaScript
A word cloud react component built with d3-cloud.
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Jun 17, 2020 - JavaScript
Python word cloud library for use within Jupyter notebook and Python apps.
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Jun 27, 2020 - Jupyter Notebook
Name analyzer written in Javascript
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Apr 15, 2020 - JavaScript
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Jul 13, 2018 - Python
Text visualization tools
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Mar 21, 2020 - Python
Classify messages as Spam or Ham using a simple Naive bayes classifier. After training the Model , next deployment of a web app build on shiny to filter text messages.
data-science
natural-language-processing
data-visualization
word-cloud
data-analytics
text-processing
predictive-modeling
shiny-apps
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Apr 4, 2018 - R
【小鸡词典】【B站】【微博】【谷歌图片】梗相关爬虫，并生成词云
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Jul 17, 2019 - Python
Text Processing Using Hadoop
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Sep 13, 2017 - Jupyter Notebook
Makes pictures out of whatsapp chats
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Nov 1, 2019 - Jupyter Notebook
Wayward is a Python package that helps to identify characteristic terms from single documents or groups of documents. It can be used for keyword extraction and several related tasks, and can create efficient sparse representations for classifiers. It was originally created to provide term weights for word clouds.
natural-language-processing
information-retrieval
word-cloud
keyword
computational-linguistics
language-model
keyword-extraction
term-extraction
search-engine-optimization
parsimonious-language-model
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Jun 28, 2019 - Python
Creates word clouds from political party manifestos
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Nov 11, 2015 - Python
Generate word cloud for jenkins plugins
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Jul 2, 2020 - Python
DisasterRecord- Disaster Response and Relief Coordination pipeline.
elasticsearch
machine-learning
natural-language-processing
information-retrieval
text-mining
data-mining
web-development
ontology
word-cloud
data-visualisation
image-classification
topic-modeling
data-analysis
mapbox
object-detection
satellite-imagery
data-processing
map-visualization
data-aggregation
match-making
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Mar 31, 2020 - JavaScript
Create Interactive Dashboards with Streamlit and Python Coursera
python
twitter
dashboard
tweets
interactive
plotly
pandas
word-cloud
interactive-visualizations
interactive-dashboards
streamlit
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Jun 19, 2020 - Python
Tweets' sentiment analysis regarding the Brazilian president Jair Bolsonaro.
python
nlp
sentiment-analysis
twitter-api
word-cloud
twitter-sentiment-analysis
nlp-machine-learning
eleicoes2018
bolsonaro
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Apr 23, 2019 - Jupyter Notebook
The project describes an easy way to create Word Clouds from your collected text data so that one can quickly identify the top words in the dataset.
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Jan 16, 2019 - Jupyter Notebook
Making word clouds more interesting
d3
nlp
data-science
word-embeddings
data-visualization
word-cloud
nltk
d3js
nlp-machine-learning
umap
word-clouds
hdbscan
word-embedding
pke
nltk-python
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Jan 22, 2019 - Python
Discover content of movie topics according to plot descriptions.
visualization
natural-language-processing
text-mining
wikipedia
scikit-learn
word-cloud
dimensionality-reduction
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Feb 18, 2019 - Jupyter Notebook
Sentiment Analysis on tweets by the candidates for 2016 presidential election
machine-learning
tweets
sentiment-analysis
word-cloud
donald-trump
twitter-scraper
presidential-candidates
hillary-clinton
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May 14, 2018 - Python
This project aims at bringing most of the text processing tasks at a single place.
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Feb 8, 2018 - Python
get Dcard & Meteor forum content and analyze !
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Jul 18, 2019 - Python
Fake News Detection System for detecting whether news is fake or not. The model is trained using "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. Link for dataset: https://arxiv.org/abs/1705.00648.
machine-learning
pipeline
random-forest
scikit-learn
pattern-library
word-cloud
nltk
naive-bayes-classifier
logistic-regression
data-preprocessing
fake-news
pos-tagging
svm-classifier
count-vectorizer
custom-transformer
voting-classifier
gridsearchcv
tfidf-vectorizer
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Jan 24, 2020 - Jupyter Notebook
Investigate the impact of general news headlines on Stock Indices
nlp
news
sentiment-analysis
linear-regression
python3
word-cloud
stock-market
stock-price-prediction
newspaper
lda
stock-indexes
vader-sentiment-analysis
latent-dirichlet-allocation
stock-prediction
stock-analysis
random-forest-regression
ftse100
guardian-api
textblob-sentiment-analysis
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Feb 24, 2020 - HTML
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If you perform the following steps.
Then: The very first item on the list "Web Technologies" isn't shown.
This makes this cloud completely useless imo as I can present this knowing the most popular isn't even shown. I don't see a workaround for this from the API docs?
Help! Is this a bug or a