本文整理汇总了Python中Search.search_by_BM25方法的典型用法代码示例。如果您正苦于以下问题：Python Search.search_by_BM25方法的具体用法？Python Search.search_by_BM25怎么用？Python Search.search_by_BM25使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Search的用法示例。
在下文中一共展示了Search.search_by_BM25方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: process_documents
# 需要导入模块: import Search [as 别名]
# 或者: from Search import search_by_BM25 [as 别名]
def process_documents():
'''Read From Document'''
documents = Utilities.read_from_time_all()
#documents = read_lines()
'''Tokens and Stem Documents'''
documents = Utilities.tokenize_stem_docs(documents)
'''calculate doc lengths'''
doc_len = Utilities.calculate_doc_len(documents)
''' term frequency'''
tf = TFIDF.term_frequency(documents)
'''calculates tf-idf'''
tfidf = TFIDF.TFIDF(len(documents), tf)
'''Read From Document'''
queries = Utilities.read_from_time_que()
#queries = ['pop love song', 'chinese american', 'city']
'''Tokens and Stem Documents'''
queries = Utilities.tokenize_stem_docs(queries)
#print Search.search_by_cosine(tfidf,len(documents),['CARTOONISTS'.lower()])
cosine_result = []
rsv_result = []
BM25_1_5 = [] #b=1 k= 0.5
BM25_1_1 = [] #b=1 k= 1
BM25_2_5 = [] #b=2 k= 0.5
BM25_2_1 = [] #b=2 k= 1
for query in queries:
cosine_result.append(Search.search_by_cosine(tfidf,len(documents),query))
rsv_result.append(Search.search_by_rsv(tf,len(documents),query))
BM25_1_5.append(Search.search_by_BM25(tf,doc_len,query,1.0,0.5))
BM25_1_1.append(Search.search_by_BM25(tf,doc_len,query,1.0,1.0))
BM25_2_5.append(Search.search_by_BM25(tf,doc_len,query,2.0,0.5))
BM25_2_1.append(Search.search_by_BM25(tf,doc_len,query,2.0,1.0))
#print cosine_result[1]
'''
read from time.rel
'''
rel_dict = Utilities.read_from_time_rel()
'''
print result
'''
result = []
result.append(('System','Precision','Recall','F1','MAP'))
result.append( ('cosine ',) + Metrics.getMetrics(cosine_result,rel_dict,20)) #limit to top 20 search
result.append( ('RSV ',) + Metrics.getMetrics(rsv_result,rel_dict,20))
result.append(('BM25 (1, .5) ',)+ Metrics.getMetrics(BM25_1_5,rel_dict,20))
result.append(('BM25 (1, 1) ',)+Metrics.getMetrics(BM25_1_1,rel_dict,20))
result.append(('BM25 (2, .5) ',)+Metrics.getMetrics(BM25_2_5,rel_dict,20))
result.append(('BM25 (2, 1) ',)+Metrics.getMetrics(BM25_2_1,rel_dict,20))
Utilities.tabulate(result)
Utilities.plot_graph(result)