Papers by Tanveer Siddiqui
Proceedings of the second workshop on …, Jan 1, 2008
Stemmers are used to convert inflected words into their root or stem. Stem does not necessarily c... more Stemmers are used to convert inflected words into their root or stem. Stem does not necessarily correspond to linguistic root of a word. Stemming improve performance by reducing morphologically variants into same words. This paper presents an approach is to develop unsupervised Hindi stemmer. This paper focus on the development of an unsupervised stemmer for Hindi and evaluation of approach
Knowledge-Based Intelligent Information and …, Jan 1, 2005
ABSTRACT: We propose an information retrieval (IR) model that combines relation and keyword match... more ABSTRACT: We propose an information retrieval (IR) model that combines relation and keyword matching. The model relies on a novel algorithm for relation matching. The algorithm takes the advantage of any existing relational similarity between document and query to improve ...
International Journal of Information …, Jan 1, 2008
Our research focuses on the use of local context through relation matching to improve retrieval e... more Our research focuses on the use of local context through relation matching to improve retrieval effectiveness. An information retrieval (IR) model that integrates relation and keyword matching has been used in this work. The model takes advantage of any existing relational similarity between documents and query to improve retrieval effectiveness. It gives high rank to a document in which the query concepts are involved in similar relationships as in the query, as compared to those in which they are related differently. A conceptual graph (CG) representation has been used to capture relationship between concepts. A simplified form of graph matching has been used to keep our model computationally tractable. Structural variations have been captured during matching through simple heuristics. Four different CG similarity measures have been proposed and used to evaluate performance of our model. We observed a maximum improvement of 7.37% in precision with the second CG similarity measure. The document collection used in this study is CACM-3204. CG similarity measure proposed by us is simple, flexible and scalable and can find application in many IR related tasks like information filtering, information extraction, question answering, document summarization, etc.
Journal of Digital Information Management, Jan 1, 2006
ABSTRACT: In information retrieval community a lot of work is focused on increasing efficiency by... more ABSTRACT: In information retrieval community a lot of work is focused on increasing efficiency by capturing statistical features. The other dominant approach is to improve the relevance by capturing the semantic and contextual information which is invariably inefficient. ...
Proceedings of International Conference on Cognitive …, Jan 1, 2004
… to Content (Text, Image, Video, and …, Jan 1, 2007
… of the 2nd International Conference on …, Jan 1, 2009
Page 1. Using syntactic and Contextual Information for Sentiment Polarity Analysis Shaishav Agraw... more Page 1. Using syntactic and Contextual Information for Sentiment Polarity Analysis Shaishav Agrawal SILP Lab IIIT Allahabad Allahabad, India [email protected] Tanveer j Siddiqui SILP Lab IIIT Allahabad Allahabad, India [email protected] ...
… of the First International Conference on …, Jan 1, 2009
Page 1. An Unsupervised Approach to Hindi Word Sense Disambiguation Neetu Mishra, Shashi Yadav an... more Page 1. An Unsupervised Approach to Hindi Word Sense Disambiguation Neetu Mishra, Shashi Yadav and Tanveer J. Siddiqui 1Indian Institute of Information Technology, Allahabad. UP, India. {neetumishra, tanveer,}@iiita.ac.in ...
Online Multimedia Advertising: …, Jan 1, 2010
Ever increasing number of internet users has attracted many of the companies on the internet for ... more Ever increasing number of internet users has attracted many of the companies on the internet for promoting their product and services. This has led to the development of new age of advertising called online or web advertising. The objective of this chapter is two-fold. First, it introduces concepts involved in
online advertising. Second, it proposes a novel conceptual framework for contextual online advertising which attempts to utilize local context and sentiment for identifying relevant ads. Contextual advertising is an important class of online advertising in which ads are displayed automatically on web pages
based on their content. The proposed framework works in two stages. The first stage retrieves ads for placement. The second stage uses sentiment analysis to filter out ads that do not agree with the sentiments (positive or negative polarity) being expressed in the document. The polarity is identified using
SentiWordNet and context-based heuristics.
… of the 2nd National Conference on …, Jan 1, 2007
32 A NEURAL NETWORK BASED ADAPTIVE IMAGE RETRIEVAL SYSTEM WITH RELEVANCE FEEDBACK AND CLUSTERING ... more 32 A NEURAL NETWORK BASED ADAPTIVE IMAGE RETRIEVAL SYSTEM WITH RELEVANCE FEEDBACK AND CLUSTERING Ankit Nagpal and Tanveer Siddiqui Indian Institute of Information Technology, Jhalwa, Allahabad, India ankit. nagpal@ is. iiita. ac. in, tanveer@ iiita. ac. in ...
Intelligent Human …, Jan 1, 2009
ACM SIGIR Forum, Jan 1, 2006
… of the First International Conference on …, Jan 1, 2009
Page 1. Words and Pictures: An HCI Perspective Tanveer J. Siddiqui and Uma Shanker Tiwary Indian ... more Page 1. Words and Pictures: An HCI Perspective Tanveer J. Siddiqui and Uma Shanker Tiwary Indian Institute of Information Technology Allahabad Jhalwa, 211012, Allahabad , UP, India {tanveer, ust}@iiita.ac.in Abstract: Human and Computer do not speak the same language. ...
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Papers by Tanveer Siddiqui
online advertising. Second, it proposes a novel conceptual framework for contextual online advertising which attempts to utilize local context and sentiment for identifying relevant ads. Contextual advertising is an important class of online advertising in which ads are displayed automatically on web pages
based on their content. The proposed framework works in two stages. The first stage retrieves ads for placement. The second stage uses sentiment analysis to filter out ads that do not agree with the sentiments (positive or negative polarity) being expressed in the document. The polarity is identified using
SentiWordNet and context-based heuristics.
online advertising. Second, it proposes a novel conceptual framework for contextual online advertising which attempts to utilize local context and sentiment for identifying relevant ads. Contextual advertising is an important class of online advertising in which ads are displayed automatically on web pages
based on their content. The proposed framework works in two stages. The first stage retrieves ads for placement. The second stage uses sentiment analysis to filter out ads that do not agree with the sentiments (positive or negative polarity) being expressed in the document. The polarity is identified using
SentiWordNet and context-based heuristics.