Analysis of Adjective-Noun Word Pair Extraction Methods for Online Review Summarization
نویسندگان
چکیده
Many people read online reviews written by other users to learn more about a product or venue. However, the overwhelming amount of user-generated reviews and variance in length, detail and quality across the reviews make it difficult to glean useful information. In this paper, we present a summarization system called Review Spotlight. It provides a brief overview of reviews by using adjective-noun word pairs extracted from the review text. The system also allows the user to click any word pair to read the original sentences from which the word pair was extracted. We present our system implementation as a Google Chrome browser extension, and an evaluation on how two word pair scoring methods (TF and TF-IDF) affect the identification of useful word pairs.
منابع مشابه
EXTRACTION-BASED TEXT SUMMARIZATION USING FUZZY ANALYSIS
Due to the explosive growth of the world-wide web, automatictext summarization has become an essential tool for web users. In this paperwe present a novel approach for creating text summaries. Using fuzzy logicand word-net, our model extracts the most relevant sentences from an originaldocument. The approach utilizes fuzzy measures and inference on theextracted textual information from the docu...
متن کاملBiogeography-Based Optimization Algorithm for Automatic Extractive Text Summarization
Given the increasing number of documents, sites, online sources, and the users’ desire to quickly access information, automatic textual summarization has caught the attention of many researchers in this field. Researchers have presented different methods for text summarization as well as a useful summary of those texts including relevant document sentences. This study select...
متن کاملClustering of Russian Adjective-Noun Constructions using Word Embeddings
This paper presents a method of automatic construction extraction from a large corpus of Russian. The term ‘construction’ here means a multi-word expression in which a variable can be replaced with another word from the same semantic class, for example, a glass of [water/juice/milk]. We deal with constructions that consist of a noun and its adjective modifier. We propose a method of grouping su...
متن کاملDeterminants of Adjective-Noun Plausibility
This paper explores the determinants of adjective-noun plausibility by using correlation analysis to compare judgements elicited from human subjects with five corpus-based variables: co-occurrence frequency of the adjective-noun pair, noun frequency, conditional probability of the noun given the adjective, the log-likelihood ratio, and Resnik’s (1993) selectional association measure. The highes...
متن کاملAutomatic Comparison of Contracts using Automatic POS-Informed Extraction of Likely Legal Terminology from EULAs
This work looks at the possibility of using automatic legal term extraction from contracts as a basis for automatic similarity comparison. A heuristic based on patterns of connection of long words (e.g., connected by “and,” “of,” etc.) informed by adjective and noun part of speech (POS) tagging, is developed and discussed in relation to bare word frequency methods. End User Licensing Agreements...
متن کامل