pytreebank︱情感分析可视化——情感结构树

import pytreebank
dataset = pytreebank.load_sst("/path/to/sentiment/")
pytreebank.LabeledTree.inject_visualization_javascript()
# select and example to visualize
example = dataset["train"][0]
# display it in the page
example.display()

for label, sentence in example.to_labeled_lines():
    print("%s has sentiment label %s" % (
        sentence,
        ["very negative", "negative", "neutral", "positive", "very positive"][label]))

The Rock is destined to be the 21st Century 's new `` Conan '' and that he 's going to make a splash even greater than Arnold Schwarzenegger , Jean-Claud Van Damme or Steven Segal . has sentiment label positive
The Rock has sentiment label neutral
The has sentiment label neutral
Rock has sentiment label neutral
is destined to be the 21st Century 's new `` Conan '' and that he 's going to make a splash even greater than Arnold Schwarzenegger , Jean-Claud Van Damme or Steven Segal . has sentiment label very positive
is destined to be the 21st Century 's new `` Conan '' and that he 's going to make a splash even greater than Arnold Schwarzenegger , Jean-Claud Van Damme or Steven Segal has sentiment label positive
is has sentiment label neutral
destined to be the 21st Century 's new `` Conan '' and that he 's going to make a splash even greater than Arnold Schwarzenegger , Jean-Claud Van Damme or Steven Segal has sentiment label very positive
destined has sentiment label neutral
to be the 21st Century 's new `` Conan '' and that he 's going to make a splash even greater than Arnold Schwarzenegger , Jean-Claud Van Damme or Steven Segal has sentiment label neutral
to be the 21st Century 's new `` Conan '' and has sentiment label neutral
to be the 21st Century 's new `` Conan '' has sentiment label neutral
to be the 21st Century 's new `` Conan has sentiment label neutral
to has sentiment label neutral

pytreebank.LabeledTree.inject_visualization_javascript()

pytreebank.create_tree_from_string('(4 (0 你) (3 (2 是) (3 (3 (3 谁) (2 的)) (2 谁))))').display()

pytreebank.create_tree_from_string('(4 (0 你) (3 (2 是) (3 (3 (3 谁) (2 的)) (2 谁))))').to_dict()

pytreebank.create_tree_from_string('(4 (0 你) (3 (2 是) (3 (3 (3 谁) (2 的)) (2 谁))))').to_json()

pytreebank.create_tree_from_string('(4 (0 你) (3 (2 是) (3 (3 (3 谁) (2 的)) (2 谁))))').to_lines()

pytreebank.create_tree_from_string('(4 (0 你) (3 (2 是) (3 (3 (3 谁) (2 的)) (2 谁))))').to_lines()