戒酒的李白
b8f1b54fa3
Update README.md
2025-03-10 12:37:47 +08:00
阿彭Baileys
b4f14ae3e7
Bilingual support, with full system support for Chinese and English switching.
2025-03-09 19:09:00 +08:00
戒酒的李白
f81a71e970
Comprehensive security enhancement, fix race conditions and injection vulnerabilities.
2025-03-08 00:17:42 +08:00
戒酒的李白
5630b30002
Comprehensive enhancement of user authentication system security, including password storage, session management, XSS/CSRF protection, etc.
2025-03-07 19:32:19 +08:00
戒酒的李白
a14f5d6538
Merge pull request #19 from ZhangJinHaHaHa/main
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注册漏洞修复,增强用户认证系统安全性
2025-03-06 11:22:31 +08:00
多多
673eb0245a
注册漏洞修复,增强用户认证系统安全性
2025-03-06 08:14:16 +08:00
戒酒的李白
f85298c021
Spider System Performance & Stability Enhancement
2025-03-04 10:45:37 +08:00
戒酒的李白
e0719583fc
Optimize database connection management in spider module, fix WebSocket handling and parameter validation.
2025-02-25 10:27:41 +08:00
戒酒的李白
930046fd5c
Add AI-powered Spider Configuration Assistant.
2025-02-24 17:10:23 +08:00
戒酒的李白
1180f285a0
Add a visual control panel for the crawler, supporting customization of topics and parameter configuration.
2025-02-23 23:30:54 +08:00
戒酒的李白
20a5be7aeb
Add options for selecting large models and prioritize using DeepSeek for analysis.
2025-02-16 01:16:35 +08:00
戒酒的李白
017f43a9c3
Deleted some unused documentation files.
2025-02-13 18:44:09 +08:00
戒酒的李白
f5b2bf5061
Delete the BCAT frontend page.
2025-02-13 16:13:25 +08:00
戒酒的李白
dfe1a833f9
Modify naming conventions that may cause confusion and consolidate code files.
2025-02-13 15:56:34 +08:00
戒酒的李白
9106d8ed3d
Add DeepSeek model selection UI support.
2025-02-12 18:21:27 +08:00
戒酒的李白
82089852c9
Supports integration of two models from DeepSeek for analysis!
2025-02-12 01:45:45 +08:00
戒酒的李白
12a8732bd2
More model support, including OpenAI and Claude, with corresponding updates to the README documentation.
2025-02-11 22:41:09 +08:00
戒酒的李白
a60a0f3296
A more comprehensive large model analysis setup, front-end interface optimization.
2025-02-11 22:30:52 +08:00
戒酒的李白
8ec05efe27
Integrating the OpenAI API for in-depth comment analysis, with usability to be debugged.
2025-02-10 00:10:14 +08:00
戒酒的李白
8249ec0048
Implement a two-level caching system (memory + disk) to optimize topic switch response speed, support asynchronous writing, and automatically clean up expired data.
2025-02-09 22:06:46 +08:00
戒酒的李白
607db7317e
Optimize model loading and prediction performance, implement the singleton pattern, and provide comprehensive error handling and error messages, along with confidence level display.
2025-02-08 23:00:11 +08:00
戒酒的李白
1707c2c3de
Added a feature to select the emotion analysis model, supporting switching between the basic and improved models.
2025-02-04 21:06:33 +08:00
戒酒的李白
826de6184d
The old emotion recognition model has been replaced with the new model_pro, and the results have been integrated into the project.
2025-02-04 21:03:45 +08:00
戒酒的李白
a9108a909c
Merge branch 'main' of https://github.com/666ghj/Weibo_PublicOpinion_AnalysisSystem
2025-01-27 18:09:59 +08:00
戒酒的李白
c62f2b2a8e
Added a logging utility class and supplemented, standardized the logging output for all modules.
2025-01-27 18:09:30 +08:00
戒酒的李白
766d45dec9
Update README-CN.md
2025-01-17 21:50:07 +08:00
戒酒的李白
03a70e6413
Update README.md
2025-01-17 21:32:56 +08:00
戒酒的李白
0a224289ef
Update README.md
2025-01-17 21:31:45 +08:00
戒酒的李白
6bbebde3d8
Merge pull request #15 from zhaisang111/main
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Optimized the getEchartsData.py script, improving code efficiency and…
2025-01-15 15:37:25 +08:00
zhaisang111
fea1f778b4
Optimized the getEchartsData.py script, improving code efficiency and readability.
2025-01-13 21:03:44 +08:00
戒酒的李白
1288b5f0be
Unimportant changes
2025-01-12 19:54:56 +08:00
戒酒的李白
4bee58b73a
Merge pull request #14 from tianjy12/main
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Removed unnecessary introduction and optimized the word cloud generation component. Added dynamic scheduling functionality to adjust crawler execution intervals based on crawl duration and data volume.
2025-01-12 19:49:00 +08:00
Asy0y0
45324ee19b
Added dynamic scheduling functionality to adjust crawler execution intervals based on crawl duration and data volume.
2025-01-12 18:34:09 +08:00
Asy0y0
3d253b11fb
Optimize word cloud generation script by adding logging and exception handling.
2025-01-12 04:06:18 -06:00
Asy0y0
06e6060b7a
Delete some unnecessary introductions
2025-01-12 03:18:25 -06:00
戒酒的李白
e58f105761
More convenient project initialization, with database initialization added to app.py.
2025-01-09 23:30:15 +08:00
戒酒的李白
a30773715e
Modify the database hardcoding to switch to command-line interactive database connection.
2025-01-09 23:08:55 +08:00
戒酒的李白
ba56f3b0d4
Merge pull request #12 from lintsinghua/main
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Optimized the web scraping functionality to support multi-account crawling and enhance performance.
2024-12-14 23:33:30 +08:00
lintsinghua
8c4f3e9b52
Update spiderContent.py
2024-12-14 20:07:14 +08:00
lintsinghua
a7472b4287
Update spiderComments.py
2024-12-14 20:06:39 +08:00
lintsinghua
babb9d54a9
Update spiderNav.py
2024-12-14 20:05:58 +08:00
戒酒的李白
82be6f864f
Merge pull request #11 from craiemer/main
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添加日志输出
2024-12-14 19:26:21 +08:00
戒酒的李白
057e02e943
Merge pull request #10 from qqqlsm666/main
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优化 topicDefine.py 主题标签处理逻辑,提升性能与稳定性
2024-12-14 19:16:27 +08:00
craiemer
ad3a20018d
添加日志输出
2024-12-14 19:11:51 +08:00
戒酒的李白
9e3c72e3ae
Create CODE_OF_CONDUCT.md
2024-12-14 18:41:49 +08:00
qqqlsm666
7583ef2c9a
优化 topicDefine.py 主题标签处理逻辑,提升性能与稳定性
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主要针对 topicDefine.py 程序进行了优化,提升了其在处理文章和评论主题标签时的性能与稳定性。
2024-12-14 18:29:11 +08:00
Wenkai Liang
f4ea9b9b6d
Merge pull request #7 from wjhgq/main
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The new practice sequence model to complete the public opinion prediction function.
2024-12-12 16:59:11 +08:00
戒酒的李白
03ec500e17
Merge pull request #5 from lycoriskang/main
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Strengthen login security and prevent SQL injection issues
2024-12-12 16:16:15 +08:00
wjhgq
d908e4c82d
Update yuqingpredict.py
2024-12-12 13:25:21 +08:00
wjhgq
3fab33a8d4
Update predict.py. The prediction model is optimized to a time series model, which significantly improves the modeling fitness.
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In the original method, only linear regression is used to perform simple trend extrapolation, which leads to insufficient prediction accuracy. This optimization adopts time series model, and uses the auto_arima method of pmdarima to automatically select appropriate model parameters (including p, d, q and seasonal parameters) according to historical data. It significantly improves the suitability of the model in time series modeling. In this way, the model can better capture the trend and periodicity of the data, and predict the future heat more reasonable and accurate.
2024-12-12 13:24:50 +08:00