What I did?
Step 1: Scanned the past 1500 tweets with hashtag "Info Sec" and exported them to R.
Step 2: Data cleaning to remove punctuation and stop-words.
Step 3: Text mining to extract the most frequent word that was used
Step 4: Made a word cloud out of the remaining words.
Step 1: Scanned the past 1500 tweets with hashtag "Info Sec" and exported them to R.
Step 2: Data cleaning to remove punctuation and stop-words.
Step 3: Text mining to extract the most frequent word that was used
Step 4: Made a word cloud out of the remaining words.
Uses of getting the world cloud real-time?
1. Keeps me up to data with what's happening around
2. Allows me to see the most-tweeted terms and topics
2. Allows me to see the most-tweeted terms and topics
3. Real-time brand monitoring: I can engage the right team to react to the brand mentions and diffuse any possible negative situations.
