### 用处
> 存放训练集的文件夹
### 命名规则
> 采用：`emotion_otherInfo`的命名。例如：`neg_1568_2017-6-9.txt` 、`neu_5963`。
- 请采用`UTF-8`编码：尤其是针对图形文字，例如中文、日文等，保证兼容
- 情感缩写：
情感 | 缩写
- | -
积极 | pos
中性 | neu
消极 | neg
基于python的金融文本情感分析模型代码实现
版权申诉
5星 · 超过95%的资源 24 浏览量
2022-03-21
17:34:50
上传
评论 10
收藏 1.15MB RAR 举报 
基于python的金融文本情感分析模型代码实现.rar （78个子文件） 
基于python的金融文本情感分析模型代码实现 other 
twotag.py 369B get_data GetData.py 388B more_process.py 700B paper run.py 957B generate_sample.py 4KB
testresult.png 65KB
A Study of Synthetic Oversampling for Twitter Imbalanced Sentiment Analysis.pdf 2.96MB data trainset 
pos_595121.txt 477B neg_2617_05_05.txt 2KB neu_591936.txt 12KB neu_591908.txt 3KB neu_589528.txt 527B neu_591925.txt 6KB neu_591962.txt 2KB pos_595252.txt 1005B pos_595052.txt 1KB neu_591877.txt 1KB neg_2593_05_04.txt 652B neu_591920.txt 4KB neg_2635_05_05.txt 1KB neg_2612_05_05.txt 3KB pos_595330.txt 477B pos_594613.txt 2KB neg_2592_05_04.txt 540B pos_595491.txt 2KB pos_594817.txt 2KB README.md 353B neg_2621_05_05.txt 2KB pos_595408.txt 28KB neg_2667_05_05.txt 2KB neg_2641_05_05.txt 3KB neg_2406_04_29.txt 735B neg_2625_05_05.txt 5KB pos_595249.txt 799B neu_589538.txt 6KB neu_591904.txt 10KB pos_595219.txt 2KB neu_591954.txt 2KB emdict stopword.plk 23KB userdict 319KB posword.plk 114KB stopword 10KB material emotion_word.py 105KB NTUSD_simplified NTUSD_positive_simplified.txt 26KB neg.txt 79KB pos.txt 26KB NTUSD_negative_simplified.txt 80KB __pycache__ emotion_word.cpython-36.pyc 148KB stopword.txt 12KB
台湾大学NTUSD - 简体中文情感极性词典.rar 40KB negword.plk 204KB collect_dict.py 4KB model wordfreq_logistic.ml 139KB __init__.py 185B clean_data clean_html.py 4KB __init__.py 90B zh_wiki.py 140KB langconv.py 8KB run_best.py 4KB operate_data.py 9KB result log logfile.plk 678B best_model PR.json 100B error_tag.json 47B 3plus3arr.plk 219B ml_rate.plk 355B show 
result.xlsx 5KB result.csv 403B vector resultY.npz 1KB resultX.npz 8.54MB .idea misc.xml 208B workspace.xml 11KB vcs.xml 180B news_emotion.iml 398B dictionaries AsuraDong.xml 88B modules.xml 276B demo.py 4KB ml_model.py 2KB loocv_model.py 3KB
- 1
- 2
- 3
前往页