A Method for Identifying Japanese Shop and Company Names by Spatiotemporal Cleaning of Eccentrically Located Frequently Appearing Words

Table 12

Processing accuracy of removal of noise words (Data consists of 1000 samples extracted randomly from the 2005 Tokyo prefecture telephone directory).

Number of samples	1000
Is it necessary to remove noise words from names, as determined by a manual check?	Yes: 654				No: 346
Can we get the same result as manual processing using the FAW dictionary?	Yes: 513	No: 141
Can we get the same result as manual processing using the dictionary of geographic names and station names?		Yes: 70	No: 71
Can we get the same result as manual processing after LFAW removal?			Yes:11	No:60
Do pure names remain after all noise word removal processing?					Yes: 330	No: 16	Sum total
Number of data processed successfully	513	70	11	0	330	0	924
Processing accuracy (%)							92.40