Abstract:

Aiming at the problem of ambiguity caused by Neologism in new words identification in social networks, an algorithm for networks new words identification is proposed. The algorithm analyzes the changing patterns and features of networks new words by three indicators: frequency gain, cooccurrence distribution consistency and emotional tendencies transference. Finally, real experiments validate the feasibility and effectiveness of the algorithm improving existing systems of new words identification.

Key words: social networks;new words identification;precision