Our Q&A Bot & WordCloud in Python

Published on May 20th 2020
A close up of a map
Candide is a community of plant lovers. Often our users will come to our feed and ask questions about their plants.
Last month, we launched our Q&A Bot: a system that tries to answer any question that the user asks, using the wisdom from our articles and wider content in the app.
I ran an analysis of the content of the questions we have received and created a cloud of words for visualisation, using Python’s WordCloud package.
So, armed with around 2,500 questions, submitted to us via the Q&A Bot by just over 1,000 Candide users, let us dive in!
First, we import the libraries we will be using: numpy, pandas, wordcloud and matplotlib.pyplot.
1import numpy as np
2import pandas as pd
3from wordcloud import WordCloud, STOPWORDS
5import matplotlib.pyplot as plt
Then, we load our data into a pandas dataframe.
1# Dataframed
2df = pd.read_csv("questions.csv", index_col=0)
Next, we combine all of the submitted questions into one text, and make sure that it is all in lower case, like so:
1# Combine all questions into one text
2text = " ".join(question for question in df.text)
3# Make sure all words are lower case
4text = text.lower()
We are now ready to use cloudword and matplotlib to generate and plot our cloud of words, as follows:
1# Generate a wordcloud
2stopwords = STOPWORDS
3wordcloud = WordCloud(background_color="white", max_words=1000, stopwords=stopwords)
6# Plot
7plt.figure(figsize=[20, 10])
8plt.imshow(wordcloud, interpolation='bilinear')
Et voilà! The result looks like this:
Word Cloud, using questions submitted to our Q&A Bot
Word Cloud, using questions submitted to our Q&A Bot
Top words are plant, flower and leaves 🌱. No surprises there 🙂!
Now, if we would like to personalise the output, we may want to have this cloud of words take a certain shape. For this, we will use the following silhouette of a robot, kindly provided by my designer colleague, Kat (it is a Q&A Bot after all!)
A close up of a light
Using the above image, and the following code:
1# Personalised cloud of words
2path = "/Users/amine/code/HackDayMay2020/robot-plant.png"
3mask = np.array(Image.open(path))
4wordcloud = WordCloud(background_color="white", max_words=1000, mask=mask, stopwords=stopwords)
7# Plot
8plt.figure(figsize=[20, 10])
9plt.imshow(wordcloud, interpolation='bilinear')
we get a final result of a cloud of words in the shape of our robot!
A close up of text on a white background
Finally, we shouldn’t forget to save our image to file, with this simple line of code:
1# Save to file
In the next tutorial, I will be analysing how our users’ questions change with time and seasonality.

References & resources

  1. WordCloud for Python documentation
  2. Github code of the WordCloud project
  3. Generating WordClouds in Python by Duong Vu
  4. Generating Word Cloud in Python by SumedhKadam

Be the first to download the app

Help us build a place where community meets knowledge. Try it out and let us know what you think.
Download on the App StoreGet it on Google Play

What is Candide?

Candide has everything for plant lovers – buy plants from independent sellers and book tickets to visit inspiring gardens near you. Identify plants in seconds from a single photo and learn how to care for them with our in-depth guides.


Learn how to care for your plants and share your growing successes on Candide’s free app for your phone or tablet.

Download on the App StoreGet it on Google Play

Germinated in Bristol © 2021 Candide