Name
Affiliation
Papers
AKIYO NADAMOTO
Kobe Univ, Grad Sch Sci & Technol, Kobe, Hyogo 6578501, Japan
67
Collaborators
Citations 
PageRank 
71
189
34.24
Referers 
Referees 
References 
333
689
501
Search Limit
100689
Title
Citations
PageRank
Year
System Integration for Component-Based Manzai Robots with Improved Scalability.00.342020
Behavioral Facilitation Tweets with Basis Extraction00.342019
A Behavioral Facilitation Tweet Detection Method.10.372019
Clause-level Negative-opinion Analysis for Classifying Reviews on Multiple Domains.00.342018
Extracting Japanese Behavioral Facilitation Tweet in Disaster Situations.00.342018
What Is Your Tweet Worldview? Mapping The Topic Structure Of Tweets On The Wikipedia00.342018
Knack for Cooking Extraction from User Generated Recipe Sites.00.342018
Emotion-Based Method For Latent Followee Recommendation In Twitter00.342017
Generating Manzai-Scenario Using Entity Mistake.00.342017
Finding Missing Tweets Using Topic Structure And Browsing Time00.342017
Extraction Of Commentary Tweets About News Articles10.362017
Detecting And Presenting Welcome-News For Tourists From User Reviews00.342017
Implicit Communication Robots Based On Automatic Scenario Generation Using Web Intelligence00.342016
Scalable Component-Based Manzai Robots as Automated Funny Content Generators.00.342016
Human-Robots Implicit Communication based on Dialogue between Robots using Automatic Generation of Funny Scenarios from Web.20.402016
Clustering for Similar Recipes in User-Generated Recipe Sites Based on Main Ingredients and Main Seasoning00.342016
Extracting welcome news from travel reviews.00.342016
Sizzle Word Analysis from Multiple Internet Media.10.432015
Detection of missing tweets based on browsing interval and topic granularity.00.342015
Manzai robot system with scalability based on distributed software components.00.342015
Multidimensional Sentiment Calculation Method For Twitter Based On Emoticons30.412015
Clustering for closely similar recipes to extract spam recipes in user-generated recipe sites.90.682015
Automatic generation of Japanese traditional funny scenario from web content based on web intelligence.20.402015
Followee recommendation based on topic extraction and sentiment analysis from tweets.50.472015
Comparative Analysis Of Sizzle Words On The Internet20.422014
Generating Funny Dialogue between Robots based on Japanese Traditional Comedy Entertainment.20.462014
How Do Rumors Spread During A Crisis? Analysis Of Rumor Expansion And Disaffirmation On Twitter After 3.11 In Japan10.372014
Manzai Robots: Entertainment Robots Based On Auto-Created Manzai Scripts From Web News Articles00.342014
Tip Information From Social Media Based On Topic Detection20.382013
Analysis of Microblog Rumors and Correction Texts for Disaster Situations60.492013
Extracting complementary information from Wikipedia articles of different languages00.342013
Complementary Information for Wikipedia by Comparing Multilingual Articles.00.342013
Words-of-wisdom search system based on user's desired sentiment00.342012
Search for minority information from wikipedia based on similarity of majority information00.342012
Good quality complementary information for multilingual wikipedia10.412012
Extracting difference information from multilingual wikipedia40.512012
Extracting tip information from social media00.342012
Extracting lack of information on Wikipedia by comparing multilingual articles00.342012
Acquiring the Gist of Social Network Service Threads via Comparison with Wikipedia00.342011
Credibility Assessment Using Wikipedia for Messages on Social Network Services20.422011
Words-of-wisdom search based on multi-dimensional sentiment vector30.462011
Gist of a Thread in Social Network Services Based on Credibility of Wikipedia00.342011
Extracting the gist of social network services using Wikipedia00.342010
Extracting Content Holes By Comparing Community-Type Content With Wikipedia10.352010
Extracting hidden information based on comparing web with UGC00.342010
Outline of community-type content based on wikipedia00.342010
Content hole search in community-type content using Wikipedia10.372009
Content hole search in community-type content20.372009
Automatic Generation of Computer Animation Conveying Impressions of News Articles10.402008
Searching for Important But Neglected Content from Community-Type-Content20.462008
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