Visualizing Student Opinion Through Text Analysis

Analysis of opinionated text for opinion mining

In sentiment analysis, the polarities of the opinions expressed on an object/feature are determined to assess the sentiment of a sentence or document whether it is positive/negative/neutral. Naturally, the object/feature is a noun representation which refers to a product or a component of a product, let’s say, the "lens" in a camera and opinions emanating on it are captured in adjectives, verbs...

Using Syntactic Analysis to Increase Efficiency in Visualizing Text Collections

Opinion Mining and Sentiment Analysis Need Text Understanding

We argue in this paper that in order to properly capture opinion and sentiment expressed in texts or dialogs any system needs a deep linguistic processing approach. As in other systems, we used ontology matching and concept search, based on standard lexical resources, but a natural language understanding system is still required to spot fundamental and pervasive linguistic phenomena. We impleme...

Lampert " Sound Man " for Student Opinion

Ifow did you get to be President of the Student Association ? I guess I started as any one would. As a freshman I was interested in student government. I attended my first committee meeting and read through a copy of the constitution. In October of that year I became an at large commissioner. In November of my freshman year I became vice-chairman of the old religious affairs commission which ha...

Inspecting and Visualizing Distributed Bayesian Student Models

Bayesian Belief Networks provide a principled, mathematically sound, and logically rational mechanism to represent student models. The belief net backbone structure proposed by Reye [14,15] offers a practical way to represent and update Bayesian student models describing both cognitive and social aspects of the learner. Considering students as active participants in the modelling process, this ...