Opinion Polarity Detection in Twitter Data combining Sequence Mining and Topic Modeling

Given these findings, it looks appropriate to tackle this issue with the social network analysis that has already developed a variety of centrality measures to quantify the

As in German, furthermore is typically associated with a restricted set of DMs – in French, en outre, par ailleurs and de plus – but this tendency is much more pronounced for

init, describing the word or expression which ac- tivated the analysis, tgt, describing the part of the sentence which contains information related to the target of the opinion,

a) First of all, we want to provide the community with a new corpus exploration method able to produce topics that are easier to interpret than standard LDA topic models. We do so

For example, if the given query is Tiger Woods Scandal then possible candidates for relevant entities are Tiger Woods, Elin Nordegren (his wife), Rachel Uchitel, Jaimee Grubbs

One of the most common approaches to topic modeling is the Latent Dirichlet Allocation (LDA) [10] which models a fixed number of topics selected as a pa- rameter based on the

The Niche+ process guides the discovery of niche topic documents using the words and documents provided by the user, along with the extended list of semantically linked words

Like ACT model, AJT model assumes that each citing author is related to distribu- tion over topics and each word in citation sentences is derived from a topic.. In the AJT model,