Sentifiers: Interpreting Vague Intent Modifiers in Visual Analysis using Word Co-occurrence and Sentiment Analysis

by   Vidya Setlur, et al.

Natural language interaction with data visualization tools often involves the use of vague subjective modifiers in utterances such as "show me the sectors that are performing" and "where is a good neighborhood to buy a house?." Interpreting these modifiers is often difficult for these tools because their meanings lack clear semantics and are in part defined by context and personal user preferences. This paper presents a system called that makes a first step in better understanding these vague predicates. The algorithm employs word co-occurrence and sentiment analysis to determine which data attributes and filters ranges to associate with the vague predicates. The provenance results from the algorithm are exposed to the user as interactive text that can be repaired and refined. We conduct a qualitative evaluation of the Sentifiers system that indicates the usefulness of the interface as well as opportunities for better supporting subjective utterances in visual analysis tasks through natural language.



There are no comments yet.


page 1

page 2

page 3

page 4


Sentiment/Subjectivity Analysis Survey for Languages other than English

Subjective and sentiment analysis have gained considerable attention rec...

GeoSneakPique: Visual Autocompletion for Geospatial Queries

How many crimes occurred in the city center? And exactly which part of t...

Language-Independent Sentiment Analysis Using Subjectivity and Positional Information

We describe a novel language-independent approach to the task of determi...

WordNet2Vec: Corpora Agnostic Word Vectorization Method

A complex nature of big data resources demands new methods for structuri...

Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors

Interactive recommender systems (RSs) allow users to express intent, pre...

FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System

Dataflow visualization systems enable flexible visual data exploration b...

Semantic Resizing of Charts Through Generalization:A Case Study with Line Charts

Inspired by cartographic generalization principles, we present a general...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.