keyword.py
# -*- coding: utf-8 -*- import sys sys.path.append('../') import jieba import jieba.analyse import MysqlUtil from optparse import OptionParser # file_name = "test.txt" # # content = open(file_name, 'rb').read() # content = "Few-shot learning is an important area of research. Conceptually, humans are readily able to understand new concepts given just a few examples, while in more pragmatic terms, limited-example training situations are common practice. Recent effective approaches to few-shot learning employ a metric-learning framework to learn a feature similarity comparison between a query (test) example, and the few support (training) examples. However, these approaches treat each support class independently from one another, never looking at the entire task as a whole. Because of this, they are constrained to use a single set of features for all possible test-time tasks, which hinders the ability to distinguish the most relevant dimensions for the task at hand. In this work, we introduce a Category Traversal Module that can be inserted as a plug-and-play module into most metric-learning based few-shot learners. This component traverses across the entire support set at once, identifying task-relevant features based on both intra-class commonality and inter-class uniqueness in the feature space. Incorporating our module improves performance considerably (5%-10% relative) over baseline systems on both miniImageNet and tieredImageNet benchmarks, with overall performance competitive with the most recent state-of-the-art systems." # 10表示输出的前10个 # tags = jieba.analyse.extract_tags(content, topK=10, withWeight=True) # # print(tags) # print(",".join(tags)) def getKey(str): counts = {} for i in str: content = jieba.lcut(i[0]) for word in content: if len(word) == 1 or word in nolist:#单个词不计算在内 continue else: counts[word]=counts.get(word,0)+1#遍历所有词语，每出现一次其对应值加1 items = list(counts.items())#将键值对转化为列表 items.sort(key=lambda x:x[1], reverse=True)#根据词语出现的次数进行从大到小的排序 for i in range(20): word, count = items[i] MysqlUtil.insert_key(word, count) print('{0:<5}{1:<5}'.format(word, count)) return items if __name__ == '__main__': nolist ={'are','is','am','and','of','but','so','which','where','when','how','what','that','who','whose','in','at','with','of','for','the','a','an','to','on','we','We','this','by','from','our','as','in','The','can','he','He','The','be','In'} res = MysqlUtil.select_ab() # print(res[0]) getKey(res)