[PDF] Top 20 A Novel Tweet Recommendation Framework for Twitter
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A Novel Tweet Recommendation Framework for Twitter
... various Twitter accounts to get the latest ...A Twitter user needs to scan a lot of less relevant posts to find the interesting ...personalized tweet ranking method based on the trending topics in ... See full document
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Tweet Recommendation with Graph Co Ranking
... services, Twitter attracts millions of users, producing millions of tweets ...for tweet recommendation that presents users with items they may have an interest ...together. Tweet and author ... See full document
10
A Framework for Tweet segmentation
... This paper presents a real-time nature of Twitter that is designed to ascertain whether we can extract valid information from it. An event notification system that monitors tweets and delivers notification ... See full document
5
A Novel Framework for Tweet segmentation and its Application to Named Entity Recognition
... Pseudo feedback The segments recognized based on local context with high confidence serve as good feedback to extract more meaningful segments. The learning from pseudo feedback is conducted iteratively and the method ... See full document
6
SemTagger: A Novel Approach for Semantic Similarity Based Hashtag Recommendation on Twitter
... target tweet, using the semantic sim- ilarity of the target tweet with the representative tweets for each topic derived, and picking from the more similar training ...get tweet with the ... See full document
10
Polarity Classification on Twitter- You are “What you Tweet”
... users tweet on different aspects of life every ...a novel approach which automatically classifies the polarity of Twitter ...a novel feature ...using twitter API’s ...The novel ... See full document
8
Sheer Force of Tweet: Testing the Limits of Executive Power on Twitter
... for Twitter has raised novel issues of constitutional law, tested the norms for presidential etiquette, and opened up a dialogue about whether tweets are considered the actual directives of the ...of ... See full document
31
Optimization Framework Model For Retrospective Tweet Summarization
... ABSTRACT Twitter is a valuable source of information to keep users up to date on topics they care ...a novel approach that formulates the summary generation as an optimization problem modeled using Integer ... See full document
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A Holistic Hybrid Algorithm for User Recommendation on Twitter
... In this work, we presented an effective algorithm for combining multiple sources of evidence for user (followee) recommendation on Twitter, based on a logistic regression model. We argued and provided ... See full document
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A hashtag recommendation system for twitter data streams
... 11,000 Twitter users, and their tagging results were evaluated by three human evaluators judging based on the rel- evancy between the recommended tags and user’s ...for Twitter users, the discovered topics ... See full document
26
Recommending Who to Follow on Twitter Based on Tweet Contents and Social Connections
... Figure 1. Schematic diagram of the recommendation architecture. graph file was provided which depicted user/followees relations for 2503 out of the total 62,438 users. In order to contact our experiments, we ... See full document
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A Link Prediction Strategy for Personalized Tweet Recommendation through Doc2Vec Approach
... is Twitter. Every user has profile in twitter and will follow different Channels, Celebrities or his/her ...his/her twitter timeline has many relevant or irrelevant subjects which forced users to ... See full document
14
All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection
... framework, supporting parallel and scalable processing for analytics activities. This paper presents an enhanced version of PASTA named e-PASTA which is tailored to tweet messages. The contribution of the ... See full document
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The Early (tweet-ing) Bird Spreads the Worm: An Assessment of Twitter for Malware Propagation
... Malware has traditionally been the bane of the Internet and its end users. The traditional ways of spreading malware has been through spamming sites via bulletin boards and email. The aim of any virus/worm is to ... See full document
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Followee recommendation in twitter using fuzzy link prediction.
... contact recommendation in microblog-oriented social net- ...address recommendation in a sui generis, heterogeneous, massive, dynamic environ- ment, which is subject to inaccuracies (think, for example, ... See full document
32
Recommendation System Through Sentiment Analysis Of Twitter Data
... To overcome the limitations of the project, steps will be taken up in the future. The time required to process a prediction has to be optimized for practical use in devices with low processing capacity. New sentiment ... See full document
5
Twitter Tweet Classifier
... This paper addresses the task of building a classifier that would categorise tweets in Twitter. Microblogging nowadays has become a tool of communication for Internet users. They share opinion on different aspects ... See full document
5
Twitter Topic Modeling by Tweet Aggregation
... popular Twitter users were obtained through the Twitter API, selecting users known for tweeting about different top- ics, so that the results would be distinguish- ...to tweet mainly about topics ... See full document
10
CONTENT BASED TWEET CLASSIFICATION ON TWITTER
... in Twitter and therefore offer a solution to process large amounts of data and derive meaningful conclusions from the ...on twitter and process this raw ... See full document
5
Qualitative Twitter analysis of participants, tweet strategies, and tweet content at a major urologic conference
... how Twitter was used showed that original tweets (57%) were more common than retweets ...of Twitter users in our ...the Twitter blogosphere in terms of ... See full document
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