Functions — github.com/SoulDGXu/NLPVisualizationSystem

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Functions252 in github.com/SoulDGXu/NLPVisualizationSystem

⨍ Functions 252◇ Types & classes 21 ↳ Endpoints 62

↓ 11 callersFunctionread_file

Read the local file and transform to text. Parameters ---------- filepath : TYPE-str DESCRIPTION: the text file path.

src/exe/exe_03.py:61

↓ 10 callersFunctionread_file

Read the local file and transform to text. Parameters ---------- filepath : TYPE-str DESCRIPTION:

src/exe/exe_02.py:66

↓ 9 callersFunctionsave_to_file

(filepath, content)

app.py:184

↓ 8 callersMethodpos_tag

(self)

src/exe/review_sentiment/sentence.py:21

↓ 8 callersMethodword_tokenize

(self)

src/exe/review_sentiment/sentence.py:17

↓ 6 callersMethodparse

(self, document_text, debug=False)

src/exe/worddiscovery/entropy_based.py:50

↓ 4 callersMethodfind

Args: text: string Returns: count: int, frequent of text

src/exe/worddiscovery/trie.py:33

↓ 4 callersMethodinsert

(self, text)

src/exe/worddiscovery/trie.py:20

↓ 4 callersFunctionitemcount

此函数用于计算字典重复的key个数。 Parameters ---------- dictionary : TYPE-dict Returns ------- count : TYPE-dict

src/exe/exe_01.py:24

↓ 4 callersFunctionsave_to_file

Write the text to the local file. Parameters ---------- filepath : TYPE-str DESCRIPTION: the file save path. Re

src/exe/exe_03.py:41

↓ 3 callersMethod_cal_word_aggregation

(self, word, word_count)

src/exe/worddiscovery/entropy_based.py:143

↓ 3 callersFunctionextract_words

Statistical word frequency. Parameters ---------- content : TYPE-str DESCRIPTION: text. Returns -------

src/exe/exe_02.py:40

↓ 3 callersFunctiongenerate_random_filename

According to the specified prefix name and suffix name, this function is used to generate a random file name. Parameters: pr

src/exe/exe_02.py:263

↓ 3 callersMethodgetEmbedding

(self, sentence, type, isUseAveragePooling, isUseStopwords)

src/exe/sentiment_analysis/embedding_manager_cyd.py:14

↓ 3 callersFunctionget_abstract

Use Textrank algorithm to extract text summaries/abstract. Parameters ---------- text : TYPE-str DESCRIPTION: the

src/exe/exe_03.py:104

↓ 3 callersFunctionget_keywords

Use Textrank algorithm to extract text keywords. Parameters ---------- text : TYPE-str DESCRIPTION: the text conte

src/exe/exe_03.py:126

↓ 3 callersFunctionget_num_by_prob

(num_list, prob_list)

src/utils/data_prepare.py:47

↓ 3 callersFunctionget_sorted_dict

Sort the dictionary by value and take the top n with the largest value. Parameters: dic: TYPE-dictionary DESCRI

src/exe/exe_02.py:87

↓ 3 callersFunctionreview_summary

According to the input product ID number, summarize the user's evaluation of the product. parameters: product_id: type-int,

src/exe/sentiment_analysis/review_sentiment_analysis.py:485

↓ 3 callersFunctionsave_to_file

(filepath, content)

src/exe/exe_02.py:35

↓ 3 callersMethodshow_main

(self, content, picturefile, words_num, save_name)

src/exe/key_info_extraction/create_wordcloud.py:158

↓ 2 callersMethod_cal_word_neighbor_char_entropy

(self, trie_tree, word)

src/exe/worddiscovery/entropy_based.py:156

↓ 2 callersMethodaddEdge

(self, start, end, weight)

src/exe/key_info_extraction/textrank.py:19

↓ 2 callersFunctioncheck_url

Check if the URL can be accessed normally. Open a simulated browser and visit. If the access is normal, the output is normal,

app.py:189

↓ 2 callersFunctiondata_process

Process the multiple document input: remove non-text characters, remove stop words, word segmentation, etc., to generate dictionary and cor

src/exe/key_info_extraction/topic_cluster_lda.py:23

↓ 2 callersMethodget_all_words

(self)

src/exe/worddiscovery/trie.py:61

↓ 2 callersMethodget_new_words

(self, top=20)

src/exe/worddiscovery/entropy_based.py:58

↓ 2 callersFunctionget_train_test

(features,tags,test_size=0.3)

src/exe/review_sentiment/model_training.py:80

↓ 2 callersFunctionget_train_test

(features,tags,test_size=0.3)

src/exe/sentiment_analysis/review_sentiment_analysis.py:417

↓ 2 callersMethodget_wordvector

(self, word)

src/exe/key_info_extraction/sentence_similarity.py:24

↓ 2 callersFunctionhandle_text

(text, isUseStopWords)

src/exe/sentiment_analysis/utils.py:7

↓ 2 callersFunctionhist_user_company_size_base

It is used to respond to requests for chart parameters. Returns ------- c : TYPE-echarts parameters return echarts par

src/exe/exe_06.py:176

↓ 2 callersFunctionhist_user_industry_base

It is used to respond to requests for chart parameters. Returns ------- c : TYPE-echarts parameters return echarts par

src/exe/exe_06.py:147

↓ 2 callersFunctionhist_user_product_use_time_base

It is used to respond to requests for chart parameters. Returns ------- c : TYPE-echarts parameters return echarts par

src/exe/exe_06.py:204

↓ 2 callersMethodpredict_prob

(self, review_segment)

src/exe/sentiment_analysis/sentiment_model.py:16

↓ 2 callersFunctionpreplexity

Calculate the preplexity of a lda-model. Parameters: ldamodel: a LDA Model testset: corpus data dictionary: voca

src/exe/key_info_extraction/topic_cluster_lda.py:63

↓ 2 callersFunctionproduct_edc_feature_query

此函数用于获取EDC产品功能的分组统计数据。 Returns ------- dataX : TYPE-list EDC feature names. dataY : TYPE-list EDC featur

src/exe/exe_01.py:76

↓ 2 callersMethodrank

(self)

src/exe/key_info_extraction/textrank.py:24

↓ 2 callersMethodshow_cloud

(self, word_dict, max_words, picturefile, save_name)

src/exe/key_info_extraction/create_wordcloud.py:93

↓ 2 callersFunctionuser_job_wordcloud_freq_query

It is used to count the frequency of words for user job title. Returns ------- data_pair : TYPE-list(tuple) DESCRIPTIO

src/exe/exe_06.py:119

↓ 2 callersFunctionwordcloud_user_job_base

It is used to respond to requests for chart parameters. Returns ------- c : TYPE-echarts parameters return echarts par

src/exe/exe_06.py:231

↓ 1 callersMethod_build_trie

(self, sentences)

src/exe/worddiscovery/entropy_based.py:115

↓ 1 callersMethod_generate_word_fragment

(self, word)

src/exe/worddiscovery/entropy_based.py:152

↓ 1 callersMethod_preprocess

(self, document_text)

src/exe/worddiscovery/entropy_based.py:129

↓ 1 callersMethodaspect_based_summary

返回一个business的summary. 针对于每一个aspect计算出它的正面负面情感以及TOP reviews. 具体细节请看给定的文档。

src/exe/review_sentiment/business.py:76

↓ 1 callersMethodaspect_based_summary

返回一个business的summary. 针对于每一个aspect计算出它的正面负面情感以及TOP reviews. 具体细节请看给定的文档。

src/exe/sentiment_analysis/review_sentiment_analysis.py:85

↓ 1 callersMethodbuild_wordsdict

(self, text)

src/exe/key_info_extraction/compute_keywords_tfidf.py:58

↓ 1 callersMethodcal_aggregation

(self, debug)

src/exe/worddiscovery/entropy_based.py:66

↓ 1 callersMethodcal_neighbor_char_entropy

(self, debug)

src/exe/worddiscovery/entropy_based.py:80

↓ 1 callersMethodcal_score

(self, debug)

src/exe/worddiscovery/entropy_based.py:107

↓ 1 callersFunctionclassification_logistic

(features, tags)

src/exe/sentiment_analysis/review_sentiment_analysis.py:427

↓ 1 callersFunctionclassification_svm

(features, tags)

src/exe/review_sentiment/model_training.py:124

↓ 1 callersFunctionclassification_svm

(features, tags)

src/exe/sentiment_analysis/review_sentiment_analysis.py:456

↓ 1 callersMethodclear

(self)

src/exe/worddiscovery/entropy_based.py:40

↓ 1 callersMethodextract_abstract

(self, text, num_sentences)

src/exe/key_info_extraction/abstract_textrank.py:28

↓ 1 callersMethodextract_aspects

从一个business的review中抽取aspects

src/exe/review_sentiment/business.py:256

↓ 1 callersMethodextract_aspects

从一个business的review中抽取aspects

src/exe/sentiment_analysis/review_sentiment_analysis.py:281

↓ 1 callersMethodextract_keywords

(self, text, num_keywords)

src/exe/key_info_extraction/keywords_textrank.py:17

↓ 1 callersMethodextract_keywords

(self, content, words_num=20)

src/exe/key_info_extraction/create_wordcloud.py:83

↓ 1 callersMethodextract_words

(self, content)

src/exe/key_info_extraction/create_wordcloud.py:72

↓ 1 callersFunctionfill_missing_data

It is used to generate random number or string based on your given distribution. Here specifically refers to the frequency distribution,li

src/utils/data_prepare.py:68

↓ 1 callersMethodgetSenetnceEmbedding

(self, sentence, isUseAveragePooling, isUseStopwords)

src/exe/sentiment_analysis/bert_embedding_extend.py:14

↓ 1 callersMethodgetSentenceVectorCommon

(self, sentence, isUseAveragePooling, isUseStopwords)

src/exe/sentiment_analysis/glove_embedding.py:42

↓ 1 callersFunctionget_best_num_topics

This is the optimal number of topics obtained through perplexity assessment. Parameters: data: type: array or dataframe or m

src/exe/key_info_extraction/topic_cluster_lda.py:114

↓ 1 callersMethodget_children_char_count

function for entropy based word discovery

src/exe/worddiscovery/trie.py:65

↓ 1 callersMethodget_cur_aspect_adj

(self, text)

src/exe/review_sentiment/business.py:229

↓ 1 callersMethodget_cur_aspect_adj

(self, text)

src/exe/sentiment_analysis/review_sentiment_analysis.py:254

↓ 1 callersFunctionget_review_data

It is used to read data and build a specific data frame, includes review data items and product data items. Return -------

src/utils/data_prepare.py:176

↓ 1 callersFunctionget_review_summary_for_business

(biz_id)

src/exe/review_sentiment/main.py:22

↓ 1 callersMethodget_segment

(self, review_text, aspect, aspects_dic)

src/exe/review_sentiment/business.py:171

↓ 1 callersMethodget_segment

(self, review_text, aspect, aspects_dic)

src/exe/sentiment_analysis/review_sentiment_analysis.py:196

↓ 1 callersFunctionget_uniform_random_num

(low, high)

src/utils/data_prepare.py:64

↓ 1 callersFunctionget_webcontent

Online mode: According to the URL, grab the text content of the news. Parameters ---------- url : TYPE-str

src/exe/exe_02.py:123

↓ 1 callersFunctionget_webcontent

Online mode: According to the URL, grab the text content of the news. Parameters ---------- url : TYPE-str

src/exe/exe_03.py:82

↓ 1 callersMethodget_webcontent

(self, url)

src/exe/key_info_extraction/create_wordcloud.py:132

↓ 1 callersFunctionhist_product_deployment_base

此函数用于获取产品安装的柱状图的参数。 Returns ------- c : TYPE-echarts parameters return echarts parameters.

src/exe/exe_01.py:355

↓ 1 callersFunctionhist_product_edc_feature_base

此函数用于获取产品EDC功能柱状图的参数。 Returns ------- c : TYPE-echarts parameters return echarts parameters.

src/exe/exe_01.py:327

↓ 1 callersFunctionhist_product_feature_base

此函数用于获取产品功能柱状图的参数。 Returns ------- c : TYPE-echarts parameters return echarts parameters.

src/exe/exe_01.py:298

↓ 1 callersFunctionhist_product_support_base

此函数用于获取产品售后支持的柱状图的参数。 Returns ------- c : TYPE-echarts parameters return echarts parameters.

src/exe/exe_01.py:430

↓ 1 callersFunctionhist_product_train_base

此函数用于获取产品培训的柱状图的参数。 Returns ------- c : TYPE-echarts parameters return echarts parameters.

src/exe/exe_01.py:383

↓ 1 callersMethodinit_data

初始化数据 :return:

src/exe/sentiment_analysis/glove_embedding.py:16

↓ 1 callersMethodis_review_only_one_aspect

判断评论里面是否只包含一个方面 :param review: :return:

src/exe/review_sentiment/business.py:237

↓ 1 callersMethodis_review_only_one_aspect

判断评论里面是否只包含一个方面 :param review: :return:

src/exe/sentiment_analysis/review_sentiment_analysis.py:262

↓ 1 callersFunctionkeyinfo_by_import_file_query

According to the local file imported by the user, an abstract and keywords are automatically generated. Returns -------

src/exe/exe_03.py:198

↓ 1 callersFunctionkeyinfo_by_input_text_query

According to the text input by the user, an abstract and keywords are automatically generated. Returns ------- abstra

src/exe/exe_03.py:175

↓ 1 callersFunctionkeyinfo_by_url_query

According to the user's input to specify the URL, the text of the URL is collected, and an abstract and keywords are automatically generat

src/exe/exe_03.py:151

↓ 1 callersFunctionlda_model

(data, file_path)

src/exe/key_info_extraction/topic_cluster_lda.py:153

↓ 1 callersFunctionlda_topics_query

It is used to get the optimal number of topics and save the topic keywords and topic distribution of documents to a file based on the fi

src/exe/exe_03.py:285

↓ 1 callersMethodload_idf

(self)

src/exe/key_info_extraction/compute_keywords_tfidf.py:45

↓ 1 callersFunctionmain

()

src/exe/review_sentiment/model_training.py:23

↓ 1 callersFunctionmain

()

src/exe/review_sentiment/main.py:26

↓ 1 callersFunctionnew_word_discovery_query

It is used to get the user input: source text, maximum number of new words and maximum of new word length. Returns -------

src/exe/exe_03.py:331

↓ 1 callersFunctionproduct_deployment_query

此函数用于获取EDC产品安装的分组统计数据。 Returns ------- dataX : TYPE-list EDC deployment method names. dataY : TYPE-list

src/exe/exe_01.py:115

↓ 1 callersFunctionproduct_feature_query

此函数用于返回产品功能的分组统计数据。 Returns ------- dataX: TYPE-list all product feature names. dataY: TYPE-list Product feature percentag

src/exe/exe_01.py:53

↓ 1 callersFunctionproduct_price_query

此函数用于获取EDC产品价格的分组统计数据。 Returns ------- dataX : TYPE-list EDC product pricing. dataY : TYPE-list EDC prod

src/exe/exe_01.py:191

↓ 1 callersFunctionproduct_rating_query

It is used to get the average score of each product rating. Returns ------- dataX : TYPE-list rating index: i.e. 'rati

src/exe/exe_01.py:216

↓ 1 callersFunctionproduct_support_query

此函数用于获取EDC产品售后支持的分组统计数据。 Returns ------- dataX : TYPE-list EDC support method names. dataY : TYPE-list e

src/exe/exe_01.py:164

↓ 1 callersFunctionproduct_train_query

此函数用于获取EDC产品培训的分组统计数据。 Returns ------- dataX : TYPE-list EDC training method names. dataY : TYPE-list ea

src/exe/exe_01.py:139

↓ 1 callersFunctionradar_product_rating_base

此函数用于获取产品多维评价的雷达图的参数。 Returns ------- tl : TYPE-echarts parameters return echarts parameters.

src/exe/exe_01.py:459

↓ 1 callersMethodread_data

(self)

src/exe/review_sentiment/business.py:48

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