qrmine package

Subpackages

• qrmine.resources package
  • Module contents

Submodules

qrmine.content module

Copyright (C) 2020 Bell Eapen

This file is part of qrmine.

qrmine is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

qrmine is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with qrmine. If not, see <http://www.gnu.org/licenses/>.

class qrmine.content.Content(content)

Bases: object

attributes(word, index=3)

common_nouns(index=10)

common_verbs(index=10)

common_words(index=10)

property content

property dep

dimensions(word, index=3)

property doc

generate_summary(weight=10)

[summary]

Parameters:

weight (int, optional) – Parameter for summary generation weight. Defaults to 10.

Returns:

A list of summary lines

Return type:

list

property idx

property lemma

property pos

property pos_

property prob

process()

sentences_with_common_nouns(index=10)

property sentiment

spans_with_common_nouns(word)

property tag

property word

qrmine.main module

qrmine.main.filter_data(inp, search, sentence, num)

qrmine.main.generate_categories(data, tags, num)

qrmine.main.generate_dict(data, num)

qrmine.main.generate_summary(data, tags)

qrmine.main.generate_topics(data, assign, num)

qrmine.main.get_association(ml)

qrmine.main.get_categories_association(data, num)

qrmine.main.get_kmeans(ml, n=3)

qrmine.main.get_knn(ml, n=3, r=3)

qrmine.main.get_nnet(ml, n=3)

qrmine.main.get_pca(ml, n=3, verbose=None)

qrmine.main.get_sentiment(data, tags, sentence, verbose)

qrmine.main.get_svm(ml)

qrmine.main.main(input_file)

qrmine.main.main_routine()

qrmine.mlqrmine module

class qrmine.mlqrmine.MLQRMine

Bases: object

property X

property csvfile

property dataset

encode_categorical()

property epochs

get_apriori()

get_association()

get_centroids(c=1)

get_kmeans(c=5)

get_nnet_predictions()

get_nnet_scores()

get_pca(n=3)

get_shape()

property head

knn_search(n=3, r=3)

mark_missing()

property model

oversample()

prepare_data(oversample=False)

read_csv()

read_xy()

restore_mark_missing()

restore_oversample()

property seed

svm_confusion_matrix()

Generate confusion matrix for SVM

Returns:

[list] – [description]

property titles

property y

qrmine.network module

class qrmine.network.Network

Bases: object

draw_graph(draw=False)

sents_to_network(sents)

terms_to_network(terms)

qrmine.nlp_qrmine module

class qrmine.nlp_qrmine.Qrmine

Bases: object

category_association(num=10)

Generates the support for itemsets

Parameters:

num (int, optional) – number of categories to generate for each doc in corpus. . Defaults to 10.

category_basket(num=10)

Generates a basket of categories for association

Parameters:

num (int, optional) – number of categories to generate for each doc in corpus. Defaults to 10.

Returns:

The list of lists (each list is categories in each document)

Return type:

list

common_verbs(common_verbs)

property content

filter_content(titles)

property get_git_revision_hash

property get_git_revision_short_hash

load_matrix()

min_topic(min_topic)

print_categories(doc, num=10)

print_dict(content, num=10)

print_documents(top_n=2)

static print_table(table)

print_topics(numtopics=0)

process_content()

unique(list1)

qrmine.readfiles module

class qrmine.readfiles.ReadData

Bases: object

append(title, document)

property content

property documents

read_file(file_names)

property titles

qrmine.sentiment module

class qrmine.sentiment.Sentiment

Bases: object

hamming(str1, str2)

sentiment()

sentiment_analyzer_scores(sentence)

similarity(obj1, obj2, fuzzy_match=False, match_threshold=0.8)

Module contents