Recommending Related Microblogs: A Comparison Between Topic and WordNet based Approaches
نویسندگان
چکیده
Computing similarity between short microblogs is an important step in microblog recommendation. In this paper, we investigate a topic based approach and a WordNet based approach to estimate similarity scores between microblogs and recommend top related ones to users. Empirical study is conducted to compare their recommendation effectiveness using two evaluation measures. The results show that the WordNet based approach has relatively higher precision than that of the topic based approach using 548 tweets as dataset. In addition, the Kendall tau distance between two lists recommended by WordNet and topic approaches is calculated. Its average of all the 548 pair lists tells us the two approaches have the relative high disaccord in the ranking of related tweets.
منابع مشابه
Automatic Construction of Persian ICT WordNet using Princeton WordNet
WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical relations. WordNet is essentially used for word sense disambiguation, information retrieval, and text translation. In this paper, we propose s...
متن کاملMining the Personal Interests of Microbloggers via Exploiting Wikipedia Knowledge
This paper focuses on an emerging research topic about mining microbloggers’ personalized interest tags from their own microblogs ever posted. It based on an intuition that microblogs indicate the daily interests and concerns of microblogs. Previous studies regarded the microblogs posted by one microblogger as a whole document and adopted traditional keyword extraction approaches to select high...
متن کاملMonolingual and bilingual dictionary approaches to the enrichment of the Spanish WordNet with adjectives
We report on two different approaches to the incorporation of adjectives in Spanish WordNet based on automatic extraction techniques using EuroWordNet and machine-readable dictionaries. We show that a monolingual dictionary approach enables to exploit relations between different parts of speech and enrich the internal structure of the Spanish WordNet, while the methods based on bilingual dictio...
متن کاملSpatiotemporal mining in microblogs
Recently, microblogging services are getting increasing attention from the research community. A main cause of this trend is their inherent spatial and temporal information, which can find several uses, such as identifying local trends and events, detecting emergency situations, predicting and monitoring natural phenomena, etc. The growing demand of location based services for the purpose of us...
متن کاملThrough The Grapevine: A Comparison of News in Microblogs and Traditional Media
In recent years the greater part of news dissemination has shifted from traditional news media to individual users on microblogs such as Twitter and Reddit. Therefore, there has been increasing research e↵ort on how to automatically detect newsworthy and otherwise useful information on these platforms. In this paper, we present two novel algorithmic approaches—contentsimilarity computation and ...
متن کامل