Enhancing keyphrase extraction from microblogs using human reading time
نویسندگان
چکیده
منابع مشابه
Keyphrase Extraction : Enhancing Lists
This paper proposes some modest improvements to Extractor, a state-of-the-art keyphrase extraction system, by using a terabyte-sized corpus to estimate the informativeness and semantic similarity of keyphrases. We present two techniques to improve the organization and remove outliers of lists of keyphrases. The first is a simple ordering according to their occurrences in the corpus; the second ...
متن کاملHuman-competitive tagging using automatic keyphrase extraction
This paper connects two research areas: automatic tagging on the web and statistical keyphrase extraction. First, we analyze the quality of tags in a collaboratively created folksonomy using traditional evaluation techniques. Next, we demonstrate how documents can be tagged automatically with a state-of-the-art keyphrase extraction algorithm, and further improve performance in this new domain u...
متن کاملInformation Extraction from Microblogs
The micro blogging sites contain the emotion and expression of the public in raw format. The data can be used to extract much meaningful information that could be used to develop technologies for future use. There are numerous micro blogging sites available these days that are used in different contexts. Some are used basically for conversation, some for image and video sharing, and some for fo...
متن کاملKeyphrase Extraction using Sequential Labeling
Keyphrases efficiently summarize a document’s content and are used in various document processing and retrieval tasks. Several unsupervised techniques and classifiers exist for extracting keyphrases from text documents. Most of these methods operate at a phrase-level and rely on part-of-speech (POS) filters for candidate phrase generation. In addition, they do not directly handle keyphrases of ...
متن کاملTopical Keyphrase Extraction from Twitter
Summarizing and analyzing Twitter content is an important and challenging task. In this paper, we propose to extract topical keyphrases as one way to summarize Twitter. We propose a context-sensitive topical PageRank method for keyword ranking and a probabilistic scoring function that considers both relevance and interestingness of keyphrases for keyphrase ranking. We evaluate our proposed meth...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Association for Information Science and Technology
سال: 2020
ISSN: 2330-1635,2330-1643
DOI: 10.1002/asi.24430