senti_c (sentiment analysis toolkit for traditional Chinese)

簡介

本工具為繁體中文情感分析套件，支援三種類型分析：句子情感分類、屬性術語提取、屬性情感分類；同時提供函數供使用者應用其它資料重新微調模型。

執行環境

python3.8

安裝方式

要先至 https://pytorch.org/ 下載適合作業系統的PyTorch Version 1.x套件。

1.pip

pip install senti_c

2.from source

git clone https://github.com/hsinmin/senti_c
cd senti_c
python3 setup.py install

功能介紹

1.句子情感分類：預測

from senti_c import SentenceSentimentClassification

sentence_classifier = SentenceSentimentClassification()

test_data = ["我很喜歡這家店！超級無敵棒！","這個服務生很不親切..."]  
result = sentence_classifier.predict(test_data,run_split=True,aggregate_strategy=False)  # 可依據需求調整參數

結果如下：

avatar

2.句子情感分類：重新微調模型

from senti_c import SentenceSentimentModel

sentence_classifier = SentenceSentimentModel()
sentence_classifier.train(data_dir="./data/sentence_data",output_dir="test_fine_tuning_sent")  # 可依據需求調整參數

3.屬性情感分析：預測

from senti_c import AspectSentimentAnalysis

aspect_classifier = AspectSentimentAnalysis()

test_data = ["我很喜歡這家店！超級無敵棒！","這個服務生很不親切..."]   
result = aspect_classifier.predict(test_data,output_result="all")  # 可依據需求調整參數

結果如下：

avatar

4.屬性情感分析：重新微調模型

from senti_c import AspectSentimentModel

aspect_classifier = AspectSentimentModel()
aspect_classifier.train(data_dir="./data/aspect_data",output_dir="test_fine_tuning_aspect")  # 可依據需求調整參數

範例程式

相關功能demo可參考examples資料夾中的function_demo檔案。

資料

本研究蒐集Google評論上餐廳與飯店領域評論內容、並進行句子情感分類、屬性情感分析標記 (屬性標記與情感標記)。

相關資料格式請見data資料夾。

引用

1.論文：
凃育婷（2020）。基於順序遷移學習開發繁體中文情感分析工具。國立臺灣大學資訊管理學研究所碩士論文，台北市。

2.實驗室：
Business Analytics and Economic Impact Research Lab
Department of Information Management
National Taiwan University
http://www.im.ntu.edu.tw/~lu/index.htm

致謝

本套件基於 Hugging Face 團隊開源的 transformers。

Release files for senti-c 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for senti-c 0.1.2
File	Size	Uploaded
senti_c-0.1.2.tar.gz	40.8 kB	Apr 1, 2021	Details

Built distribution (wheel)

Table of built distributions (wheels) for senti-c 0.1.2
File	Interpreter	ABI	Platform	Reset
senti_c-0.1.2-py3-none-any.whl 48.9 kB Apr 1, 2021	Python 3	none	any	Details

Total release size: 89.7 kB

Release files / senti_c-0.1.2.tar.gz

Download URL	senti_c-0.1.2.tar.gz
Size	40.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`90c8bd7be157d458cbfda44c7cd57920e8e2a1d592fb10f731ff56e42408d25d`
BLAKE2b-256 checksum How to use checksums	`c7223c0c11500672518445e9cdc88e292613ec009720bd1b342163bfe016c5c6`
Upload date	Apr 1, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5`

Release files / senti_c-0.1.2-py3-none-any.whl

Download URL	senti_c-0.1.2-py3-none-any.whl
Size	48.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`6ac0031f1f764c80a34b26e79546fc18bb41e69bdce3288a688a21380fd885fa`
BLAKE2b-256 checksum How to use checksums	`35c05d189b78ec82eadbd357a67db74800396327f4cd48512f349908bd956a08`
Upload date	Apr 1, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5`