OpinioZ-Mine the Minds
OpinioZ is an opinion mining product which will mine the world of online opinions and explore the hidden knowledge to the users. The main slogan of this product is "We are reading for you". Its under developement. Wanna try... Just wait... We are on our way for the real show :-)..
Product Overview
Internet is flooded with all the information one needs while making a decision of buying a product. But only a few use this potential as it is currently a very complicated process to procure the available knowledge from the Internet and duly interpret it. Typically, Internet has a lot of websites dedicated for user product reviews. People who have used a product jots their feedback about the product, be it affirmative or negative. While making a decision, one needs to read reviews about the chosen product to collect information about pros and cons. After reading, one needs to draw decisions after making tradeoffs against various parameters like cost, durability, availability, maintenance, service, support, pride etc. We propose a system which could summarize the product reviews and draw interpretations with factual data references in a way to help an user to make decision quickly and easily. The proposed system would accept user preferences in natural language and make recommendations based on it. Our system consists of a NL Parser, Semantic Network, Ontology, Summarizer & Ranking system.
Challenges
The goal of opinion mining systems is to identify such pieces of the text that express opinions and then measure the polarity and strength of the expressed opinions. While intuitively the task seems straightforward, there are multiple challenges involved.
- What makes an opinion positive or negative?
- Is there an objective measure for this task?
- How can we rank opinions according to their strength?
- Can we define an objective measure for ranking opinions?
- How does the context change the polarity and strength of an opinion and how can we take the context into consideration?
Resources
Research Papers- Mining and summarizing customer reviews
- Mining opinion Features in customer reviews
- Opinion mining and search
- Learning Consensus opininionmining data from a labeling game
- Extracting dependancy relations for opinion mining
- using wordnet for opinion mining
- Towards opinion mining through tracing discussions on the web
- Opoinion mining and sentiment analysis
- A multi-dimensional Annotation scheme for opinion mining from unstructured data
- Opinion mining from textual datasets
- Mining opinion polarity relations of citations
- Determining the term subjectivity and Term orientation of opinion mining
- Is a voting approach accurate for opinion mining
- Opinion mining in a telephone survey corpus
- Opinion mining from web documents - Extraction and Structurization
- Incorporate the syntactic knowledge in opinion mining in user generated content