Skip to main content

Dictionary based Sentiment Analysis for Japanese

Project description

oseti

travis-ci.org coveralls.io pyversion latest version license

Dictionary based Sentiment Analysis for Japanese

INSTALLATION

$ pip install oseti

USAGE

import oseti

analyzer = oseti.Analyzer()
analyzer.analyze('天国で待ってる。')
# => [1.0]
analyzer.analyze('遅刻したけど楽しかったし嬉しかった。すごく充実した!')
# => [0.3333333333333333, 1.0]

analyzer.count_polarity('遅刻したけど楽しかったし嬉しかった。すごく充実した!')
# => [{'positive': 2, 'negative': 1}, {'positive': 1, 'negative': 0}])
analyzer.count_polarity('そこにはいつもと変わらない日常があった。')
# => [{'positive': 0, 'negative': 0}]

analyzer.analyze_detail('お金も希望もない!')
# => [{'positive': [], 'negative': ['お金-NEGATION', '希望-NEGATION'], 'score': -1.0}])
analyzer.analyze_detail('お金がないわけではない')
# => [{'positive': ['お金'], 'negative': [], 'score': 1.0}]

ACKNOWLEDGEMENT

This module uses 日本語評価極性辞書(用言編)ver.1.0 and 日本語評価極性辞書(名詞編)ver.1.0

  • 小林のぞみ,乾健太郎,松本裕治,立石健二,福島俊一. 意見抽出のための評価表現の収集. 自然言語処理,Vol.12, No.3, pp.203-222, 2005. / Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto, Kenji Tateishi. Collecting Evaluative Expressions for Opinion Extraction, Journal of Natural Language Processing 12(3), 203-222, 2005.

  • 東山昌彦, 乾健太郎, 松本裕治, 述語の選択選好性に着目した名詞評価極性の獲得, 言語処理学会第14回年次大会論文集, pp.584-587, 2008. / Masahiko Higashiyama, Kentaro Inui, Yuji Matsumoto. Learning Sentiment of Nouns from Selectional Preferences of Verbs and Adjectives, Proceedings of the 14th Annual Meeting of the Association for Natural Language Processing, pp.584-587, 2008.

CHANGES

0.2 (2019-10-07)

  • Add new methods count_polarity (thanks @yskn67) and analyze_detail

  • Drop support Python 3.3

  • Use sengiri package

  • Support parallel negation (e.g. お金も希望もない is negative)

  • Support “arujanai” expression (e.g. お金があるじゃない is positive)

0.1.2 (2019-02-18)

  • Fix missing CHANGES.rst

0.1.1 (2019-02-13)

  • Set install_requires

0.1 (2019-02-12)

  • First release

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

osetifix-0.1.2.tar.gz (76.0 kB view details)

Uploaded Source

File details

Details for the file osetifix-0.1.2.tar.gz.

File metadata

  • Download URL: osetifix-0.1.2.tar.gz
  • Upload date:
  • Size: 76.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0.post20201005 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.9

File hashes

Hashes for osetifix-0.1.2.tar.gz
Algorithm Hash digest
SHA256 0b58d52d7ffedbd542ff2a16a7ed3c1d5537a75e0cf488a1b7d7b6b3d9c4cd89
MD5 b40c9d69678b568f7b3df0cd1f2320e5
BLAKE2b-256 ddfd623b203be1d937fa20d9ae023bcf2d590638e82174993be8db0ea9614a40

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page