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Hashtag

A hashtag is a word or phrase prefixed with a hash symbol that labels or groups online content by topic and facilitates its discovery.

How 2 Manning books explain it

Graph Algorithms for Data Science

A hashtag is a word or phrase prefixed with a hash symbol that labels social media content for categorization and discovery.

How it is used
Uses hashtags to categorize tweet content and support discovery, then analyzes them for a social-media targeting strategy.
How deep it goes
Defines hashtag extraction and graph modeling, then builds a co-occurrence projection for community and importance analysis.
Examples
Uses tweets containing #KnowledgeGraph, #NamedEntityLinking, #Wikipedia, #NLP, #DataScience, and #Graphs, plus a Cypher co-occurrence query.
What you can do after
Apply via Cypher to construct hashtag co-occurrence networks and evaluate tags for a Twitter content strategy.

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Writing for Developers: Blogs that get read

A keyword or phrase prefixed by a marker that categorizes social media content and makes it discoverable through topic searches.

How it is used
Uses hashtags to make blog posts, talks, and conference promotions visible to people tracking technologies, trends, or events.
How deep it goes
Explains audience targeting, handle contrast, search checks, bot and newsletter discovery, and conference use without discussing platform mechanics.
Examples
Uses #Postgres, #ziglang, #CoolCONF, @FakeDB, and @ziglang in blog and conference announcements.
What you can do after
Evaluate hashtags by searching their frequency and ambiguity before adding them to promotional social posts.

Read how Writing for Developers: Blogs that get read explains hashtag →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.