[寄生虫站群]Tagatum：通过分析博客关联来进行关键字研究
I have multiple times posted on non-standard keyword research tools and services (apart from regular keyword suggestions tools):
Where to start your keyword research (reviewing online dictionaries and glossaries);
Tools for keyword brainstorming (on term clustering and related words);
Using social media for keyword research (on trend comparison and social media tags);
Organizing keyword modifiers to create long tail strategy (on working with keyword lists);
How to keep track of popular trends.
And here is another new valuable online tool to help you with keyword research: Tagatum that claims to gather semantic associations from the blogosphere, i.e. to search for any term associations by ****yzing its related blog tags:
Thus, just like 站群 sets find relevant words and phrases by ****yzing lists 360站群(i.e.
words that are likely to be listed by using a comma or
), Tagatum finds and saves connections between tags that are likely to appear together in one post (i.e。
一个博客作者用一些术语标记了他的帖子，因此这些术语彼此相关
）。
除了保存这些连接外寄生虫站群，Tagatum还通过引入标签等级（与特定标签相关的其他术语数量，即标签等级可以表示标签受欢迎程度）来对其进行分析和评估。总而言之，我们拥有一个完整的关键字研究工具，该工具可以：
提出新的相关词;
按受欢迎程度对关键字进行排名。
除此之外，Tagatum还列出了最流行的标签和最流行的标签对，这些标签对也可以用于分析最热门的趋势。
该服务还将启动另一个甚至更有希望的项目：“标签雪花” –更好的标签云版本，其中相关的单词与该行相连（粗线表示更流行的连接）：
本文内容由互联网用户自发贡献，该文观点仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权，不承担相关法律责任。如发现本站有涉嫌抄袭侵权/违法违规的内容，一经查实，本站将立刻删除。如若转载，请注明出处:http://www.botadmin.cn/changjianwenti/7347.html