Predicting Amendments via Right to Information Query Log Analysis
نویسندگان
چکیده
Amendments to laws are necessary to keep up with the changing needs of the society. Such a process is largely manual, and takes feedbacks from the society for the introduction of an amendment. The Right to information (RTI) Act 2005 gives Indian citizens the opportunity to interact with the government. The present paper discusses how analysis of the RTI system can assist in mining feedbacks that can suggest potential amendments, and the process and challenges associated with solving this problem. Extracting latent patterns from the RTI query-reply process via learning algorithms is the main task at hand; representation of the RTI data, identifying applicable learning models and most importantly interpreting the results in the context of amendments is at the heart of this research work.
منابع مشابه
Analysis of User query refinement behavior based on semantic features: user log analysis of Ganj database (IranDoc)
Background and Aim: Information systems cannot be well designed or developed without a clear understanding of needs of users, manner of their information seeking and evaluating. This research has been designed to analyze the Ganj (Iranian research institute of science and technology database) users’ query refinement behaviors via log analysis. Methods: The method of this research is log anal...
متن کاملDiscovering Popular Clicks\' Pattern of Teen Users for Query Recommendation
Search engines are still the most important gates for information search in internet. In this regard, providing the best response in the shortest time possible to the user's request is still desired. Normally, search engines are designed for adults and few policies have been employed considering teen users. Teen users are more biased in clicking the results list than are adult users. This leads...
متن کاملQuery expansion based on relevance feedback and latent semantic analysis
Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...
متن کاملRight to Information Query Modelling via Graded Response Model
Right to Information (RTI) Act, 2005 empowers citizens of India to access information from any governmental organization. Using this Act citizens can ask questions (through RTI applications/queries) to government offices and obtain answers. In this work we attempt to model RTI queries. Objective of modeling is to understand the latent patterns such as transparency and effectiveness of RTI Act i...
متن کاملQuery Log Analysis for Adaptive Dialogue-Driven Search
AbstrAct The theme of this chapter is the improvement of Information Retrieval and Question Answering systems by the analysis of query logs. Two case studies are discussed. The first describes an intranet search engine working on a university campus which can present sophisticated query modifications to the user. It does this via a hierarchical domain model built using multi-word term co-occurr...
متن کامل