Large-Scale Sentiment Analysis for News and Blogs

368 indexed citations
published 2007
Authors
Steven Skiena

In The Last Decade

doi.org/w8275546 →

Countries where authors are citing Large-Scale Sentiment Analysis for News and Blogs

Specialization
Citations

This map shows the geographic impact of Large-Scale Sentiment Analysis for News and Blogs. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Large-Scale Sentiment Analysis for News and Blogs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Large-Scale Sentiment Analysis for News and Blogs more than expected).

Fields of papers citing Large-Scale Sentiment Analysis for News and Blogs

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Large-Scale Sentiment Analysis for News and Blogs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Large-Scale Sentiment Analysis for News and Blogs.

About Large-Scale Sentiment Analysis for News and Blogs

This paper, published in 2007, received 368 indexed citations . Written by Steven Skiena covering the research area of Artificial Intelligence and Information Systems. It is primarily cited by scholars working on Artificial Intelligence (281 citations), Information Systems (94 citations) and Sociology and Political Science (62 citations).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/w8275546.

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