"Semantic Scholar" AI Tool Vs Scifinder | Best Academic Search Engine Powered by AI | Dr. Aman

Summary

The video introduces Semantic Scholar, an AI-powered academic search engine that provides more relevant research paper recommendations than alternatives. It is free and understands search topics intelligently to surface papers including recent, open access publications. Users simply enter research interests into the search bar and Semantic Scholar returns ranked results with citations and availability. Key features covered include full-text access, citations and journal info per paper, filters like date range and PDF availability. Overall, it enables researchers to easily discover up-to-date, impactful papers in their domain.

Takeaways

• 😃 Semantic Scholar is a new generation AI-powered research search engine that aims to provide more relevant results.
• 💡 It utilizes algorithms to find hidden connections and links between research topics.
• 🔎 You can search by typing in your research topic or area of interest into the search bar.
• 📄 It returns published articles related to your search, sorted from old to recent.
• 🆓 The search engine is completely free to use with no subscriptions needed.
• 🧮 Filters allow you to narrow down results by date range or availability of PDFs.
• 📚 You can view article abstracts, citations, DOIs, and access online PDFs.
• 🧠 The AI understands search topics more wisely and returns better results than traditional engines.
• ✅ It stays up to date with the latest research with newly published 2023 papers available.
• 👍🏻 Overall, Semantic Scholar makes searching for targeted research papers much easier and more efficient.

Q & A

What is the main purpose of Semantic Scholar search engine?

The main purpose of Semantic Scholar search engine is to provide more relevant and impactful search results for research papers using AI-powered algorithms that find hidden connections between research topics.

How does Semantic Scholar help researchers?

Semantic Scholar helps researchers by using AI to understand search topics more wisely and provide better search results. It can find connections between topics and surface papers researchers may have otherwise missed.

What are some advantages of Semantic Scholar over other search engines?

Advantages include more relevant results using AI, ability to find connections between topics, free to use unlike some databases, stays up to date with recent papers, provides citation counts and sources for papers.

How can you access full text articles on Semantic Scholar?

If an article is open access, you can directly open the PDF. For other articles, it provides an online PDF source link if available. Full text access depends on the journal's open access policies.

What filters are available on Semantic Scholar?

Filters available include date range to restrict to more recent papers, ability to show only papers with available PDFs, and capability to sort by citations or publication recency.

Can researchers create a free account on Semantic Scholar?

Yes, researchers can sign up with their email or Google account to create a free account on Semantic Scholar. This allows saved searches, alerts, annotations and more.

How often are research papers on Semantic Scholar updated?

Semantic Scholar stays up to date, with even papers published in 2023 searchable on the platform. This helps researchers find the most recent papers in their field.

What information does Semantic Scholar provide about research papers?

For each paper, Semantic Scholar provides the abstract, citations, source journal information, DOI, and links to access the paper. This additional metadata helps evaluate relevance.

Can you save searches on Semantic Scholar?

Yes, if you create an account, you can save searches on Semantic Scholar and set up alerts to be notified when new papers matching your interests are published.

Is Semantic Scholar meant to replace existing academic databases?

No, Semantic Scholar is intended as an additional free research search engine to complement existing databases like Web of Science or Scopus.