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analysis of language computational linguistics Lexicoder sentiment analysis

Lexicoder automated content analysis of text

Lexicoder is a Java-based, multi-platform software for automated content analysis of text. Lexicoder was developed by Lori Young and Stuart Soroka, and programmed by Mark Daku (initially at McGill University, and now at Penn, Michigan, and McGill respectively).

The current version of the software (2.0) is freely available – for academic use only. Additions and revisions will also be released here as they become available. In addition, the Lexicoder Sentiment Dictionary, a dictionary designed to capture the sentiment of political texts, is available formatted for Lexicoder, or WordStat, and also adaptable to other content-analytic software. Work on Topic Dictionaries, based on the Policy Agendas coding scheme, is also underway.

Through Linkedin The WebGenre R&D Group.

Categories
hashtags sentiment analysis text analysis text tools text-analytics twitter

Hashtags and text mining

Twitter: How to archive event hashtags and create an interactive visualization of the conversation (Link)

TAGSExplorer Beta (Link)

TAGS v3 (Link)

AYLIEN Text analysis API demo  (Link)

Categories
sentiment analysis text-analytics

Sentiment analysis – a report on a Text Analytics Meetup, London

Read the report here.