Twitter 5.mil.zip Official

Apply VADER or BERT for sentiment scoring, or use K-Means clustering for thematic grouping. 4. Structuring the Paper

"Do high-frequency news posts correlate with rapid stock market movement?" 2. Data Processing (The '.zip' File) Extraction: Unzip the data.

Use Python with Libraries like pandas , nltk , sklearn , or transformers (for NLP).

Apply VADER or BERT for sentiment scoring, or use K-Means clustering for thematic grouping. 4. Structuring the Paper

"Do high-frequency news posts correlate with rapid stock market movement?" 2. Data Processing (The '.zip' File) Extraction: Unzip the data. twitter 5.mil.zip

Use Python with Libraries like pandas , nltk , sklearn , or transformers (for NLP). Apply VADER or BERT for sentiment scoring, or

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