Hammer PDF DataHammer Group
winget install --id=DataHammer.HammerPDF -e Hammer PDF, a brand new Smart Scientific Reader developed and supported by the DataHammer Research Group at the School of Computer Science, Beijing Institute of Technology, provides fast analysis of PDF documents and reliable academic information in real time. Look here to boost your research productivity! Hammer PDF combines academic resources such as papers, authors, report videos, datasets, codes, and blogs into an organic whole by data association and knowledge mining, etc. It not only provides basic PDF reading features, but also supports natural language processing tasks such as information extraction and semantic analysis, greatly expanding the capabilities of traditional PDF readers, offering researchers the latest and reliable extended information, and significantly improving the productivity of academic research. As the core component of the application, the academic features include information extraction, information extension, academic search, and academic dialog. Hammer PDF is designed to deliver a one-stop PDF reading experience by fusing data from multiple sources and modalities on the academic search engine Hammer Scholar. The following are key features. - Simple Interaction. With reasonable interaction, it supports smooth operation on screens of any size. - Seamless Use. Windows, MacOS and Linux supported. All functions can also be used in modern browsers. - Info Protection. Any private information about you will not sent to the server, only for scholar analysis. - Extract Scholar. Relying on machine learning, structure of PDF and scientific terms can be extracted. - Translation. Multilingual explanations in Chinese, English can be fetched anytime, anywhere. - Citation Network. Analyze the citation network of papers, look at scientific frontiers in the world.
Hammer PDF: Elevating Academic Research with Advanced Features
Hammer PDF is a cutting-edge Smart Scientific Reader developed by the DataHammer Research Group at Beijing Institute of Technology, designed to enhance academic research by providing rapid analysis of PDF documents and delivering reliable academic information in real time.
Key Features:
- Integrated Academic Resources: Seamlessly combines papers, authors, videos, datasets, codes, and blogs through advanced data association and knowledge mining.
- Advanced NLP Capabilities: Supports natural language processing tasks such as information extraction and semantic analysis beyond traditional PDF reading.
- Core Academic Tools: Features include info extraction, extension, academic search, and dialog, all integrated into the Hammer Scholar engine for a comprehensive research experience.
- Cross-Platform Compatibility: Available on Windows, MacOS, Linux, and modern browsers, ensuring seamless use across devices.
- Data Protection Assurance: Ensures no private information is sent to servers, safeguarding user data exclusively for academic analysis.
- Machine Learning Integration: Utilizes machine learning to extract PDF structures and scientific terms effectively.
- Multilingual Support: Offers translations in Chinese and English, enhancing accessibility for global researchers.
Audience & Benefits: Ideal for researchers, graduate students, and academics seeking efficient research tools, Hammer PDF significantly boosts productivity by integrating diverse academic resources and offering real-time analysis. It transforms traditional PDF reading into an enriched academic experience, enabling deeper insights and faster progress in scholarly work.
Installation: Hammer PDF can be easily installed via winget, ensuring a smooth setup process for users.
By leveraging these features, Hammer PDF stands out as a powerful tool for modern academia, supporting researchers in their quest for knowledge and innovation.