Extract and count hashtags from tweets

To extract and count hashtags from tweets, you can use a simple approach in Python. Here’s a concise method:

1. Extract hashtags from tweets using regex or string parsing.

2. Count the occurrences of each hashtag.

3. Optionally, sort and display the counts.

Example Python code:

python
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import re
from collections import Counter

tweets = [
    "Loving the new features! #tech #innovation",
    "Big day for #AI and #MachineLearning enthusiasts. #tech",
    "Exploring data science and #AI applications. #DataScience",
    "No hashtags here, just text.",
    "#Innovation in #tech is rapid. #Future"
]

# Extract hashtags
hashtags = []
for tweet in tweets:
    hashtags.extend(re.findall(r"#w+", tweet.lower()))

# Count hashtags
hashtag_counts = Counter(hashtags)

# Display sorted counts
for tag, count in hashtag_counts.most_common():
    print(f"{tag}: {count}")

Output:

arduino
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#tech: 3
#ai: 2
#innovation: 2
#machinelearning: 1
#datascience: 1
#future: 1

This method handles case insensitivity by converting hashtags to lowercase before counting. You can adapt this to read tweets from a file, database, or API as needed.