CommentsAnalytics 💬 is the ultimate service for understanding and engaging with your audience. 📈🔍 📊 Supercharge your YouTube video comments with advanced sentiment analysis, comment categorization, entity recognition, and keyword extraction features. 🎯

Comments Analytics 着陆页

OpenLIT 总结

OpenLIT is an open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics in a single application 🔥 🖥 Open source GenAI and LLM Application Performance Monitoring (APM) & Observability tool

OpenLIT 着陆页

比较详细信息

Comments Analytics 详细信息

类别	AI Analytics助手, AI产品描述生成器
Comments Analytics 网站	https://commentsanalytics.com?utm_source=toolify
添加时间	2023年5月23日
Comments Analytics 定价	Paid plans

OpenLIT 详细信息

类别	AI开发工具, 大型语言模型（LLMs）, AI Analytics助手
OpenLIT 网站	https://openlit.io?utm_source=toolify
添加时间	2024年7月11日
OpenLIT 定价	--

使用情况比较

如何使用 Comments Analytics？

To use Comments Analytics, you can import your comments using various methods, including copy/paste, website crawling, or uploading an Excel CSV/XLSX file. The platform supports 23 languages and uses advanced natural language processing (NLP) techniques to analyze the comments and extract key phrases. You can easily customize and deploy the models to obtain clean insights.

如何使用 OpenLIT？

Integrate OpenLIT into your LLM applications with just one line of code for seamless monitoring.

比较 Comments Analytics 和 OpenLIT 的优势

Comments Analytics的核心功能

Sentiment Analysis: Extracts subjective information and emotions from comments to understand the social sentiment of a brand or product.
Named Entity Recognition: Locates and classifies named entities mentioned in unstructured text.
Key Phrases Extraction: Extracts the most important words and expressions from comments to identify popular topics of discussion.
Predict Customers' Needs: Utilizes machine learning models to predict future customer needs and preferences.
No-Code Text Analytics: Provides a user-friendly interface for obtaining comments insights with no coding skills required.
Scalability: Handles a large number of requests in real-time and offers scalable infrastructure for increased workload or demands.
Immediate Support: Offers 24/7 ticket support, dedicated sales managers, and available engineers to assist users.
Custom Analysis and Websites: Allows flexibility in customizing inference models for texts in different websites and provides custom insights from machine learning models.
Multiple Use Cases: Provides insights from videos, social posts, product pages, and more to improve marketing strategies, product offerings, and customer loyalty.

OpenLIT的核心功能

Seamless integration with OpenTelemetry
Fine-tune LLM performance and costs
Real-time data streaming for quick decision-making
Low-latency data processing
Visualize and analyze LLM costs, token consumption, and performance indicators
Connect to popular observability systems like Datadog and Grafana Cloud

比较使用案例

Comments Analytics的使用案例

Social media monitoring and reputation management
Customer experience analysis
Feedback analysis for product or content improvement
Identifying customer preferences and pain points
Developing effective marketing strategies
Increasing customer loyalty
Understanding consumer sentiment towards brand or product

OpenLIT的使用案例

Monitor GenAI projects including OpenAI and HuggingFace libraries
Visualize and analyze LLM costs, token consumption, and performance indicators

比较定价

Comments Analytics 定价

Paid plans

start from $39

OpenLIT 定价

对不起，没有数据

比较流量/月访问量

Comments Analytics的流量

Comments Analytics 是月访问量为 556 且平均访问时长为 00:00:00 的工具。 Comments Analytics 的每次访问页数为 1.02，跳出率为 41.07%。

OpenLIT的流量

OpenLIT 是月访问量为 2.0K 且平均访问时长为 00:00:33 的工具。 OpenLIT 的每次访问页数为 2.00，跳出率为 51.21%。

地理位置

Comments Analytics 的前 2 个国家/地区是：Georgia 57.91%, United States 42.09%

Top 2 国家/地区

Georgia	57.91%
United States	42.09%

地理位置

OpenLIT 的前 3 个国家/地区是：India 42.47%, United States 33.46%, Vietnam 24.07%

Top 3 国家/地区

India	42.47%
United States	33.46%
Vietnam	24.07%

流量来源

Comments Analytics 的 6 个主要流量来源是：自然搜索 45.26%, 直接访问 36.08%, 外链引荐 11.96%, 社交媒体 5.58%, 展示广告 0.84%, 邮件 0.28%

自然搜索	45.26%
直接访问	36.08%
外链引荐	11.96%
社交媒体	5.58%
展示广告	0.84%
邮件	0.28%

Feb 2023 - Jul 2024 仅限全球桌面设备

流量来源

OpenLIT 的 6 个主要流量来源是：自然搜索 47.66%, 直接访问 33.13%, 外链引荐 17.93%, 社交媒体 0.98%, 展示广告 0.29%, 邮件 0.02%

自然搜索	47.66%
直接访问	33.13%
外链引荐	17.93%
社交媒体	0.98%
展示广告	0.29%
邮件	0.02%

Apr 2024 - Jul 2024 仅限全球桌面设备

Comments Analytics 或 OpenLIT哪个更好？

OpenLIT 可能比 Comments Analytics 更受欢迎。如您所见，Comments Analytics 每月有 556 次访问，而 OpenLIT 每月有 2.0K 次访问。所以更多的人选择了OpenLIT。因此，人们很可能会在社交平台上更多地推荐 OpenLIT。

Comments Analytics 的平均访问持续时间为 00:00:00，而 OpenLIT 的平均访问持续时间为 00:00:33。此外，Comments Analytics 的每次访问页面为 1.02，跳出率为 41.07%。 OpenLIT 的每次访问页面为 2.00，跳出率为 51.21%。

Comments Analytics 的主要用户是Georgia, United States，分布如下：57.91%, 42.09%。

OpenLIT 的主要用户是 India, United States, Vietnam，分布如下：42.47%, 33.46%, 24.07%。