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[PDF] Top 20 Lifetree: Building and Comparison based on User’s Tweets

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Lifetree: Building and Comparison based on User’s Tweets

Lifetree: Building and Comparison based on User’s Tweets

... or tweets and comparing them with Wikipedia to generate a graph tree, with nodes pertaining to topics ...generated Lifetree is dynamic in nature and is progressed as the continuing users’ communication ... See full document

7

Tweet Recommendation with Graph Co Ranking

Tweet Recommendation with Graph Co Ranking

... the tweets they produce. The user network represents links among authors based on their following be- havior, whereas the tweet network connects tweets based on content ...and ... See full document

10

Building a Sentiment Corpus of Tweets in Brazilian Portuguese

Building a Sentiment Corpus of Tweets in Brazilian Portuguese

... score- based annotation (Buscape and Mercado Livre) or distant supervision (Pelesent), manual approaches suffer from time consumption, but also gain in ...of user behavior ... See full document

6

Building a Patient-based Ontology for User-written Web Messages

Building a Patient-based Ontology for User-written Web Messages

... A user can post short mes- sages, no longer than 140 characters, that are pub- licly visible by ...these tweets (i.e., become followers) and re- spond with their messages. A user can group his ... See full document

6

Corpus Building and Evaluation of Aspect based Opinion Summaries from Tweets in Spanish

Corpus Building and Evaluation of Aspect based Opinion Summaries from Tweets in Spanish

... Therefore, it is likely to be a special difficulty in summa- rizing user opinions from social media, as there is not an specific order among all the opinion posts grouped by the same topic. Besides, each post may ... See full document

5

Automatically Building a Corpus for Sentiment Analysis on Indonesian Tweets

Automatically Building a Corpus for Sentiment Analysis on Indonesian Tweets

... of tweets is absolutely labor- intensive, time-consuming, and very expensive due to the massive scale and rapid growth of ...on tweets posted in under-resourced language, such as Indone- sian ...that ... See full document

10

The Revitalization of the Community based Management of Acute Malnutrition Program in Haiti

The Revitalization of the Community based Management of Acute Malnutrition Program in Haiti

... There is a need for an automated disaster management system which can recommend suitable action patterns in case of a disaster. These can deal with informing about the shelter in case of a disaster emergency or maybe how ... See full document

56

Numerical modeling of tornado-like vortex and its interaction with bluff- bodies

Numerical modeling of tornado-like vortex and its interaction with bluff- bodies

... While congregating adequate knowledge for further research in tornado-like vortex, it has been observed that compared to synoptic wind, tornadic flows are the least studied. Based on the limited studies, the ... See full document

140

Opinion Mining on Twitter Data

Opinion Mining on Twitter Data

... ABSTRACT: In today’s life most of the individuals are attracted toward social networking site. Many social networking microblog are emerging like Facebook and Twitter, where users express their experiences and emotions. ... See full document

5

User Type Classification of Tweets with Implications for Event Recognition

User Type Classification of Tweets with Implications for Event Recognition

... However, limiting our person-tweets to those from accounts identified with the person heuris- tic could introduce bias (i.e., it may consider only the people who provided more complete profile information). To ... See full document

11

Automatic Summarization Of Tweet From Social Media Using Tweet Classification and Clustering(Based On GPU)

Automatic Summarization Of Tweet From Social Media Using Tweet Classification and Clustering(Based On GPU)

... of tweets, spanning ...many tweets for important contents would be a nightmare, not to mention the enormous amount of noise and redundance that one might ...new tweets satisfying the filtering ... See full document

5

A Holistic Hybrid Algorithm for User Recommendation on Twitter

A Holistic Hybrid Algorithm for User Recommendation on Twitter

... their user representation in relation to ours in Section ...and user features simultaneously; (2) instead of relying on naïve ways of combining different sources of evidence, we learn how to combine in an ... See full document

16

Using Twitter to Collect a Multi Dialectal Corpus of Arabic

Using Twitter to Collect a Multi Dialectal Corpus of Arabic

... dialectal tweets for each Arab country with high accuracy for some countries and average accuracy for other countries using the geographical information associated with Twitter user ...tal tweets ... See full document

7

Leveraging Intra User and Inter User Representation Learning for Automated Hate Speech Detection

Leveraging Intra User and Inter User Representation Learning for Automated Hate Speech Detection

... Hate speech detection is a critical, yet chal- lenging problem in Natural Language Process- ing (NLP). Despite the existence of numerous studies dedicated to the development of NLP hate speech detection approaches, the ... See full document

6

Finding information about mental health in microblogging platforms: a Case study of depression

Finding information about mental health in microblogging platforms: a Case study of depression

... The key findings in the Social Engagement theme show that the users tweeted to provide their own opinions and thoughts about depression, rather than trying to disseminate formal or official information. In addition, ... See full document

10

Identification of Natural Disaster Affected Area Precise Location Based on Tweets

Identification of Natural Disaster Affected Area Precise Location Based on Tweets

... obtained tweets will help to know the current trend on the ...of tweets form the twitter database. In this process all the tweets are stored in data frame and data frame is converted into a comma ... See full document

5

Feasibility analysis of AsterixDB and Spark streaming with Cassandra for stream-based processing

Feasibility analysis of AsterixDB and Spark streaming with Cassandra for stream-based processing

... performance comparison between lexical-based and machine learning approaches [42, 43] in terms of prediction accuracy and agreement [22, 24, ...(~1000–2000 tweets/s) is in the same range with ... See full document

25

Tweets Segmentation based on Popularity of Posted Tweets with Help of Hashtag

Tweets Segmentation based on Popularity of Posted Tweets with Help of Hashtag

... part tweets into significant sections, the semantic or setting data is all around safeguarded and effortlessly removed by the downstream ...of tweets, ...section based grammatical feature (POS) ... See full document

9

Sentiment Analysis for Tweets using Patterns and Strategies to Detect the Genuineness of Tweets

Sentiment Analysis for Tweets using Patterns and Strategies to Detect the Genuineness of Tweets

... of tweets, standing updates, diary posts ...this user generated knowledge is incredibly helpful in knowing the opinion of the ...for tweets along a side multiple strategies to discover the sentiment ... See full document

5

An Empirical Study on Uncertainty Identification in Social Media Context

An Empirical Study on Uncertainty Identification in Social Media Context

... Previous research shows that uncertainty identi- fication is domain dependent as the usage of hedge cues varies widely in different domains (Morante and Sporleder, 2012). Therefore, the employment of existing ... See full document

5

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