Getting started with Gavagai Explorer

Gavagai Explorer is available in beta version. Gavagai Explorer is a tool to analyze related texts to find common themes, their associated terms, their sentiment scores and their importance (in terms of number of respondent mentions). Although the primary use case for Explorer is open-ended question analysis of surveys it can be used for the analysis of any set of related texts such as hotel reviews. Gavagai Explorer aims to give the analyst a comprehensive and quantified view of the data; it identifies the main topics or themes and measures their importance as a relative strength to the total number of texts. This means…


CampaignAsia Article about Gavagai Tech

Here is an article about the applicability of Gavagai’s technology from a birds-eye business perspective.


A brief history of word embeddings (and some clarifications)

One of the strongest trends in Natural Language Processing (NLP) at the moment is the use of word embeddings, which are vectors whose relative similarities correlate with semantic similarity. Such vectors are used both as an end in itself (for computing similarities between terms), and as a representational basis for downstream NLP tasks like text classification, document clustering, part of speech tagging, named entity recognition, sentiment analysis, and so on. That this is a trend is obvious when looking at the proceedings from the recent large conferences in NLP, e.g. ACL or EMNLP. For the first time (ever), semantics was…


Gavagai and the most recent Greek election

As we have done previously, we again followed Greek editorial and social media in the days preceding last week’s parliamentary election in Greece. The opinion polls published in the weeks before suggested a neck-to-neck race between the incumbent socialist Syriza party and the main contender, the conservative Nea Demokratia. Our friend Haralampos Karatzas took our numbers for analysis on his blog on Greek politics (in Swedish). They showed a very different picture: Syriza garnered more attention. As previously, Syriza, as a controversial party, also was the focus of stronger expressions of sentiment than any other party. Last time around, we…


Gavagai at EMNLP 2015

We will present 3 research papers during this year’s EMNLP (Empirical Methods in Natural Language Processing) in Lisbon, Portugal. The first is a paper on comparing a support vector classifier to a lexicon-based approach for the task of detecting the stance categories speculation, contrast and conditional in English consumer reviews. The paper is called “Detecting Speculations, Contrasts and Conditionals in Consumer Reviews”, and will be presented on Thursday September 17 at the co-located workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA). The second paper investigates a method for factorizing distributional semantic models that produces state-of-the-art results on…