Richard Townsend (@Sentimentron)
github

Sentimentron

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  • Stars
    star
    121
  • Global Rank 180,950 (Top 7 %)
  • Followers 70
  • Following 4
  • Registered over 11 years ago
  • Most used languages
    Python
         42.9 %
    Go
         28.6 %
    JavaScript
         14.3 %
    C
         14.3 %
  • Location πŸ‡¬πŸ‡§ United Kingdom
  • Country Total Rank 7,922
  • Country Ranking
    Python
         1,700
    C
         2,165
    Go
         2,329
    JavaScript
         9,716

Top repositories

1

Dracula

A deep, LSTM-based part of speech tagger and sentiment analyser using character embeddings instead of words. Compatible with Theano and TensorFlow. Optimized for Twitter.
Python
91
star
2

annotatron-old

Web-based data annotation application
Python
7
star
3

DBSCAN-Cluster

DBSCAN implementation in C
C
5
star
4

dracula-sentiment-node

node.js/Javascript implementation of Dracula - adapted to do deep sentiment analysis using character embeddings.
JavaScript
5
star
5

functron-old

Minimalist function as a service (FaaS) runtime
Go
1
star
6

Word-Embeddings

Quick word-embeddings demonstration using r9y9/nnet
Go
1
star
7

Utah

Project to create a keyword index of the Common Crawl
Python
1
star