The different versions of SenticNet are accessible in RDF/XML format: SenticNet 1 simply associates polarity scores with almost 6,000 ConceptNet concepts; in addition to polarity, SenticNet 2 also assigns semantics and sentics to commonsense concepts and extends the breadth of the knowledge base to about 13,000 entries; SenticNet 3 broadens the spectrum of the semantic network to 30,000 concepts; finally, SenticNet 4 further extends the knowledge base to 50,000 entries by means of conceptual primitives. The latest version of the knowledge base can also be selectively accessed online through an API, available in 40 different languages. Each language-dependent version of SenticNet is also downloadable in RDF/XML format as BabelSenticNet.
Three vector spaces can also be downloaded in CSV format, namely: IsaCore, a strongly-connected core of hyponym-hypernym common knowledge; AmazonWE, a word2vec model providing 300-dimensional sentiment embeddings generated from Amazon product reviews; and AffectiveSpace, the 100-dimensional vector space representation of AffectNet (a matrix of affective commonsense knowledge, also available for download) upon which SenticNet is built.
We also make some code available on our GitHub account. However, not all the code we develop is freely available: if you are interested in our most advanced tools, please visit our corporate website. In case you need to reproduce some of our results for publication purposes, though, feel free to send us your data and we will do the classification for you.