Twitter 5.mil.zip May 2026
Remove null values, URLs, special characters, and emojis.
"What is the sentiment trend regarding [Topic] over the last 5 years?" twitter 5.mil.zip
"How can we identify automated, malicious bot traffic in high-volume datasets?" Remove null values, URLs, special characters, and emojis
"Do high-frequency news posts correlate with rapid stock market movement?" 2. Data Processing (The '.zip' File) Extraction: Unzip the data. Remove null values
What (Python, SQL, etc.) are you using for this analysis?
Use Python with Libraries like pandas , nltk , sklearn , or transformers (for NLP).
What is the of the paper (sentiment, spam, trends)?