Content pattern based automatic document classification

A method for content pattern based document classification in a computer system having a network storage containing multiple documents accessible to multiple members via a computer network, the method comprising:

• receiving, from the network storage, data representing a document having a plurality of words in sequences and a sequence of words corresponding to a document class having a class label;
• in response to receiving the document,
• determining a longest common subsequence of words between the words in the document and the sequence of words;
• calculating a similarity percentage between the document and the sequence of words based on the determined longest common subsequence;
• and
• when the calculated similarity percentage is above a threshold,
• indicating that the received document belongs to the document class;
• and
• automatically applying the class label corresponding to the document class to the received document and storing the document with the automatically applied class label in the network storage.

A computing device in a computer system having a network storage containing multiple documents accessible to multiple members via a computer network, the computing device comprising:

• a processor;
• and
• a memory containing instructions executable by the processor to cause the computing device to:
• receive, from the network storage, data representing a first document and a second document, both the first and second documents having words in sequences;
• in response to receiving the first and second documents,
• compute a longest common subsequence of words between the first and second documents, the computed longest common subsequence having a number of words shared by the first and second documents;
• determine whether the number of words of the computed longest common subsequence is above a threshold;
• and
• in response to determining that the number of words is above the threshold, use the computed longest common subsequence to classify additional documents in the network storage.