jiebaR-package | A package for Chinese text segmentation |
<=.keywords | Keywords symbol |
<=.qseg | Quick mode symbol |
<=.segment | Text segmentation symbol |
<=.simhash | Simhash symbol |
<=.tagger | Tagger symbol |
apply_list | Apply list input to a worker |
DICTPATH | The path of dictionary |
distance | Hamming distance of words |
edit_dict | Edit default user dictionary |
filecoding | Files encoding detection |
file_coding | Files encoding detection |
filter_segment | Filter segmentation result |
freq | The frequency of words |
get_idf | generate IDF dict |
get_qsegmodel | Set quick mode model |
get_tuple | get tuple from the segmentation result |
HMMPATH | The path of dictionary |
IDFPATH | The path of dictionary |
jiebaR | A package for Chinese text segmentation |
keywords | Keyword extraction |
new_user_word | Add user word |
print.inv | Print worker settings |
print.jieba | Print worker settings |
print.keywords | Print worker settings |
print.qseg | Print worker settings |
print.simhash | Print worker settings |
qseg | Quick mode symbol |
reset_qsegmodel | Set quick mode model |
segment | Chinese text segmentation function |
set_qsegmodel | Set quick mode model |
show_dictpath | Show default path of dictionaries |
simhash | Simhash computation |
simhash_dist | Compute Hamming distance of Simhash value |
simhash_dist_mat | Compute Hamming distance of Simhash value |
STOPPATH | The path of dictionary |
tagging | Speech Tagging |
tobin | simhash value to binary |
USERPATH | The path of dictionary |
vector_distance | Hamming distance of words |
vector_keywords | Keyword extraction |
vector_simhash | Simhash computation |
vector_tag | Tag the a character vector |
worker | Initialize jiebaR worker |
[.keywords | Keywords symbol |
[.qseg | Quick mode symbol |
[.segment | Text segmentation symbol |
[.simhash | Simhash symbol |
[.tagger | Tagger symbol |