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Case Studies
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Tutorial: Text Mining Using LDA and Network Analysis
Read MoreIn this tutorial we present a method for topic modeling using text network analysis (TNA) and visualization. The approach we propose is based on identifying topical clusters in text based on co-occurrence of words. We will demonstrate how this approach can be used for topic modeling, how it compares to Latent Dirichlet Allocation (LDA), and how they can be used together to provide more relevant results.…
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Google SEO Strategies using Text Mining and Network Visualization
Read MoreSearch engine optimization is a set of strategies used to promote certain content in search results. Using a combination of text mining and network visualization techniques, you can identify discrepancies between what the users search for and what they actually find. You can then create the content that bridges that gap, so that it's shown at the top of the relevant search results. …
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News Analysis Using Text Network Visualization of RSS Feeds
Read MoreText network analysis can be used to better understand the news picture of the day and to analyze the current media discourse. In this case study we import RSS news feeds of the major new outlets to visualize their discourse and to compare their approach. …
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Knowledge Graphs
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Text Mining Software, Web and API Applications
The most interesting web-based text mining applications, APIs and software tools.…
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Text Mining Techniques
A graph of the most prominent text mining techniques and the relations between them.…
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Russian Writers
If you don't know anything about Russian literature it may be hard to know where to start. That's why we created this graph, which you can use as a starting point for your exploration. …
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Contemporary Artists and Galleries
The graph of selected contemporary artists and galleries from around the world.…
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Accelerators and Venture Funds
This graph of accelerators, venture funds and some startups – how they all connect.…
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Prominent Philosophers
This is a graph of the most prominent philosophers. We derived it by analyzing Google Knowledge Graph, so it shows what philosophers people tend to search for together more often. …
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Electronic Music Labels
This is a graph of the most interesting electronic music labels working in the field of techno, leftfield, house, experimental and noise electronics. …
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HiTech Companies
This is a network graph of the main hitech companies and their relations to one another. The data was manually derived from Google Knowledge Graph, so it reflects which companies people search for together. You can also view this graph directly on InfraNodus. …
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Research
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8OS – Body/Mind Operating System
Read MoreProposition for the new body/mind operating system based on wave-like oscillatory movement. …
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Network Centric Hybrid Warfare and the Dynamics of War
Read MoreThe effects of warfare are often compartmentalized to the kind of imagery that is merely shocking and sensational. Warfare is then (mis)understood as a kind of violent and destructive exercise only. How can we rethink our understanding of conflict / war and learn something from the dynamics that it produces?…
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Divinatory Recommender Systems: between Similarity and Serendipity
Read MoreRecommender systems are the algorithms that determine what content we read, which products we buy, which movies we watch. However, most of them are based on similarity and lock us into "filter bubble" where we see only what we expect. In this article we discuss how to bring in more serendipity into the algorithms.…
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Dmitry Paranyushkin, Special Agent with Nodus LabsInfraNodus tool can be a very useful companion for research. You can put all your notes and research excerpts in there and the resulting graph will show you the most prominent topics and terms and the connections between them.
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