Akshaya: A Framework for Mining General Knowledge Semantics From Unstructured Text

We report a tool called Akshaya, which implements a framework to mine four types of “general knowledge semantics” (analytical semantics) from unstructured text. The semantics being mined are semantic siblings, topical anchors, topic expansion and topical markers. The framework provides options to embed more such general knowledge semantic mining algorithms into it. We use a term co-occurrence graph representation of unstructured text corpora to mine these semantics relations between terms. The semantic mining algorithms use different graph algorithms like random walk, graph clustering and so on to mine semantic relations. The tool can currently read plain text documents and generate a term co-occurrence graph and perform semantic association mining on it.