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Community-based classification of noun phrases in twitter

Freddy Chong Tat Chua, William W. Cohen, Justin Betteridge, Ee-Peng Lim
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
Here we consider a method of automatically finding noun phrases (NPs) as keywords for event monitoring in Twitter.  ...  Our results show that we can classify many NPs by using a sample of training data from a knowledge base.  ...  Figure 3: NP+LDA Figure 4 : 4 Communities in Twitter Figure 5 : 5 NP+RART model modified for noun phrases.  ... 
doi:10.1145/2396761.2398501 dblp:conf/cikm/ChuaCBL12 fatcat:ypcbvh6b6jdqfgjxxr3cadanxy

Support Vector Machine Based Sentiment Analysis Process for Twitter Streams

Rekha Malik, Sugandha Hooda, Jyoti Bharadwaj
2016 IOSR Journal of Computer Engineering  
Sentiment Research in twitter is quite tough due to its short length.  ...  As no average dataset is obtainable for twitter posts of electronic mechanisms, we crafted a dataset by accumulating tweets for a precise era of time.  ...  Based on that observation, the nouns or noun phrases in k frequent itemsets have higher potential to be opinion targets contrasted alongside those in 1-frequent itemsets.  ... 
doi:10.9790/0661-1804028289 fatcat:qbzfusdg55gflegr4aj73cbftu

Product Features based Sentiment Analysis from Twitter

Neamat El-Tazi, Abla Lotfy
2020 Zenodo  
In this paper, we will use Twitter as a social media source platform to do a feature based level sentiment analysis using tweets including opinions about a specific product. .  ...  The extracted opinion phrase related to each extracted feature is being classified using sentiment classification algorithm.  ...  Researchers in [22] adopted linguistic filtering pattern to extract opinion phrases based on POS tags for words and for each noun phrase in every dependency and generated potential syntactic information  ... 
doi:10.5281/zenodo.4012460 fatcat:mu3wcgiybzhori5musa3xqq5ui

Extracting Interest Tags from Twitter User Biographies [chapter]

Ying Ding, Jing Jiang
2014 Lecture Notes in Computer Science  
A recent study based on a sample of users found that around 28% of Singapore Twitter users and over 50% of US Twitter users revealed personal interests in their biographies, which suggests the high value  ...  One of the important sources of information in Twitter is users' biographies, which are short self-introductions written by users in free form.  ...  All extracted noun phrases are ranked based on their numbers of appearances in the whole corpus and the top-100 ranked phrases are selected as our seed interest tags.  ... 
doi:10.1007/978-3-319-12844-3_23 fatcat:6lcbecpogbdxnjdut7vvjokwqq

Rule-based Sentiment Degree Measurement of Opinion Mining of Community Participatory in the Government of Surabaya

Berlian Juliartha Martin Putra, Afrida Helen, Ali Ridho Barakbah
2018 Emitter: International Journal of Engineering Technology  
For applicability of our proposed system, we made a series of experiment with 410 data of community participatory in Twitter for Diskominfo Surabaya and compared with other sentiment classification algorithms  ...  We propose our rule-based technique for the sentiment analysis of opinion mining with detection of 8 important parts, which are (1) Verb, (2) Adjective, (3) Preposition, (4) Noun, (5) Adverb, (6) Symbol  ...  Acknowledgements We want to thank for the government of Surabaya which has allowed us to use the crawling twitter data in our research.  ... 
doi:10.24003/emitter.v6i2.275 fatcat:6dnydimfbfctvn5lsctqroewpa

Predicting the Scale of Trending Topic Diffusion Among Online Communities [chapter]

Dohyeong Kim, Soyeon Caren Han, Sungyoung Lee, Byeong Ho Kang
2016 Lecture Notes in Computer Science  
We examined the proposed model with four different machine learning in predicting the scale of diffusion in Twitter Trending Topics among 8 English-speaking countries.  ...  Surprisingly, almost 90% of trending topics are diffused among multiple online communities, so it shows peoples interests in a certain community can be shared to others in another community.  ...  In total, we have collected 705354 unique trending topics in 3 years. Related Tweets Trending topics in Twitter consist of short phrases, words, or hash-tags.  ... 
doi:10.1007/978-3-319-42706-5_12 fatcat:glwllypmofaq5day5lwkqpd4l4


Madhura G.K And Puneet Shetteppanavar
2022 Zenodo  
The concept of sentiment analysis of twitter data and semantic analysis with the augmentation of machine learning methodologies has become a hot topic in recent years.  ...  machine learning based classification algorithms such as Nave Bays, Maximum entropy, and SVM, as well as the Semantic Orientation based WordNet to extract synonyms and similarity for the content feature  ...  The majority of nouns and noun phrases are discovered in current research. Even if the recall is high, the precision may be low.  ... 
doi:10.5281/zenodo.6507777 fatcat:bwd6uccrrbdcdnv7a3hhn5elly

Towards Context-Aware Syntax Parsing and Tagging

Alaa Mohasseb, Mohamed Bader-El-Den, Mihaela Cocea, Michael Wagner
2019 Imperial College Computing Student Workshop  
A broad range of PoS parsers and taggers tools have been proposed with the aim of helping to find a solution for the information retrieval problems, but most of these are tools based on generic NLP tags  ...  Information retrieval (IR) has become one of the most popular Natural Language Processing (NLP) applications. Part of speech (PoS) parsing and tagging plays an important role in IR systems.  ...  At phrase level, "Order Ed Sheeran Albums" consists of Verb Phrase and Noun Phrases, while at word level, it consists of Verb (Action Verb) and Nouns (Proper Noun and Common Noun).  ... 
doi:10.4230/oasics.iccsw.2018.5 dblp:conf/iccsw/MohassebBC18 fatcat:i6kykcgeczbg5e5jtuvyqfwwn4

Developing Cross-lingual Sentiment Analysis of Malay Twitter Data Using Lexicon-based Approach

Nur Imanina Zabha, Zakiah Ayop, Syarulnaziah Anawar, Erman Hamid, Zaheera Zainal
2019 International Journal of Advanced Computer Science and Applications  
Two lexicons of languages are combined in the system, then, the Twitter data were collected and the results were determined using graph.  ...  The objective of this study was to develop a cross-lingual sentiment analysis using lexicon based approach.  ...  ACKNOWLEDGMENT We would like to express a deep gratitude to the Center of Advanced Computing Technology (C-ACT), Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka (UTeM) for  ... 
doi:10.14569/ijacsa.2019.0100146 fatcat:3xir446kb5ghherxdjcreh62dy

Syntax Analysis on The News Title of Cyber Media on Detik Twitter Account (@Detikcom)

Effrina Yuricki, Sri Arfani
2019 DEIKSIS  
Dalam hal ini, peneliti telah melakukan penelitian tentang berita utama di akun Twitter @detikcom.  ...  Akun Twitter @detikcom adalah akun resmi dari situs <a href=""></a>.  ...  After data collection, tweets are displayed in the order of time. In one day, the @detikcom Twitter account produced dozens of news stories. 3. Data classification.  ... 
doi:10.30998/deiksis.v11i03.3760 fatcat:xdpga3epwnblzcd65t5jfc7dcq

Summarizing Situational and Topical Information During Crises [article]

Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, Prasenjit Mitra
2016 arXiv   pre-print
The use of microblogging platforms such as Twitter during crises has become widespread.  ...  A summary is generated using a two stage framework that first extracts a set of important tweets from the whole set of information through an Integer-linear programming (ILP) based optimization technique  ...  DATASET AND CLASSIFICATION OF MES-SAGES We use the Nepal Earthquake 2015 Twitter data from CrisisNLP [10] .  ... 
arXiv:1610.01561v1 fatcat:qrvz63akrnepnec77kr4r3w3la

Comparing the Performance of Different NLP Toolkits in Formal and Social Media Text

Alexandre Pinto, Hugo Gonçalo Oliveira, Ana Oliveira Alves, Marc Herbstritt
2016 Symposium on Languages, Applications and Technologies  
In this paper, we assess a range of natural language processing toolkits with their default configuration, while performing a set of standard tasks (e.g. tokenization, POS tagging, chunking and NER), in  ...  The current challenge is to select which one to use, out of the range of available tools.  ...  Noun phrases (NP), prepositional phrases (PP) and verbal phrases (VP) are the most common chunks in both datasets.  ... 
doi:10.4230/oasics.slate.2016.3 dblp:conf/slate/PintoOA16 fatcat:mn2pco57ubc5hop2dsasvz3rai

Sarcastic sentiment detection in tweets streamed in real time: a big data approach

S.K. Bharti, B. Vachha, R.K. Pradhan, K.S. Babu, S.K. Jena
2016 Digital Communications and Networks  
In this paper, we proposed a Hadoop based framework that captures real time tweets and processes it with a set of algorithms which identifies sarcastic sentiment effectively.  ...  Due to these challenges, researchers show interest in sarcasm detection of social media text, especially in tweets. Rapid growth of tweets in volume and its analysis pose major challenges.  ...  It takes tweets as an input from HDFS and parses them into the form of phrases such as noun phrase (NP), verb phrase (VP), adjective phrase (ADJP), etc.  ... 
doi:10.1016/j.dcan.2016.06.002 fatcat:jvdu7ndggrcp7ln6lbwiu567a4

Sentiment Analysis: A Perspective on its Past, Present and Future

Akshi Kumar, Teeja Mary Sebastian
2012 International Journal of Intelligent Systems and Applications  
The proliferat ion of Web-enabled devices, including desktops, laptops, tablets, and mobile phones, enables people to communicate, participate and collaborate with each other in various Web communit ies  ...  Simu ltaneously, the enormous amount of heterogeneous data that is generated by the users of these communities, offers an unprecedented opportunity to create and emp loy theories & technologies that search  ...  [29] restricted the candidate words further by extract ing only base noun phrases, definite base noun phrase(noun phrases preceded by a definite article -the‖) and beginning definite base noun phrases  ... 
doi:10.5815/ijisa.2012.10.01 fatcat:mau54eke75dxdmrn2mlozvbck4

Self-Aware Contextual Behavior Analysis for Service Quality Assurance Over Social Networks

Deepanshi, Adwitiya Sinha
2022 Journal of Cases on Information Technology  
In our research, we have collected real-time user comments and feedbacks from Twitter portals of two food delivery services.  ...  Social media allows people to share their ideologue through an efficient channel of communication.  ...  In our model, the main focus is on doing noun phrase chunking. Chunking is applied to the pre-processed data corpus.  ... 
doi:10.4018/jcit.20220701.oa8 fatcat:uaeu6mp5vvarxhkbjjkdtrb6ku
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