PSYCHONET 2: contextualized and enriched psycholinguistic commonsense ontology

PsychoNet 1 has demonstrated the feasibility of integrating psycholinguistic taxonomy, represented in LIWC,and its semantic textual representation in the form of commonsense ontology, represented in ConceptNet.However, various limitations exist in PsychoNet 1, including the lack of concluding context of the conceptannotation. In this paper, we address most of those limitations and introduce a new enhanced and enrichedversion, PsychoNet 2. PsychoNet 2 utilizes WordNet, in addition to LIWC and ConceptNet, to produce an integratedcontextualized psycholinguistic ontology. The first and the main contribution is that, in PsychoNet 2,each concept is annotated by the potential (most representative) contextual psycholinguistic categories, ratherthan all applicable categories. The second contribution is the enrichment of LIWC through utilizingWordNet.This in fact produced an enriched version of LIWC that may also be used independently in other applications.This has contributed to substantial enrichment of PsychoNet 2 as it facilitated including additional number ofconcepts that were not included in PsychoNet 1 due to lack of corresponding words in the original LIWC. Asample application of text classification, for a mood prediction task, is presented to demonstrate the introducedenhancements. The results confirm the improved performance of the new PsychoNet 2 against PsychoNet 1.