Abstract: The factual event detection method for online news consists of five main steps: Step 1: Preprocess raw text to split a document into sentences and words, find part-of-speech tags (POS tags), and digitize data; Step 2: Encode digitized words and their POS tags into vectors; Step 3: Detect triggers and their event types; Step 4: Concatenate the surrounding encoded vectors of each trigger into an aggregate vector; Step 5: Classify the realis status of each event. The method chosen is used in systems that automatically collect, extract, and analyze data in order to monitor and early warn about the activities of targets mentioned in digital newspapers.