Takashi Inui
- Artificial Intelligence top 5%
- Information Systems top 10%
- Sociology and Political Science
- Statistical and Nonlinear Physics
- Social Psychology
- Co-authors
- Manabu OkumuraHiroya TakamuraKentaro InuiYūji MatsumotoMikio YamamotoAkinori ZukeranH. KawakamiMasamichi Ishikawa
- Topics
- Topic Modeling (14 papers)Advanced Text Analysis Techniques (9 papers)Natural Language Processing Techniques (9 papers)
- Journals
- ACM Transactions on Asian Language Information ProcessingTransactions of the Japanese Society for Artificial IntelligenceNorth American Chapter of the Association for Computational Linguistics
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Takashi Inui
20 papers receiving 404 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 391
- Information Systems 66
- Sociology and Political Science 33
- Statistical and Nonlinear Physics 33
- Social Psychology 17
Countries citing papers authored by Takashi Inui
This map shows the geographic impact of Takashi Inui's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Takashi Inui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Inui more than expected).
Fields of papers citing papers by Takashi Inui
This network shows the impact of papers produced by Takashi Inui. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Takashi Inui. The network helps show where Takashi Inui may publish in the future.
Co-authorship network of co-authors of Takashi Inui
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Inui. A scholar is included among the top collaborators of Takashi Inui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takashi Inui. Takashi Inui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | Applying Sentiment-oriented Sentence Filtering to Multilingual Review Classification | 7 |
| 9 | 1 | |
| 10 | 4 | |
| 11 | Extracting Semantic Orientations of Phrases from Dictionary | 47 |
| 12 | 26 | |
| 13 | Latent Variable Models for Semantic Orientations of Phrases | 44 |
| 14 | 5 | |
| 15 | Characteristics of In-text Causal Relations | 2 |
| 16 | 8 | |
| 17 | 242 | |
| 18 | 35 | |
| 19 | Extracting Emotional Polarity of Words using Spin Model (Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining) -- (Session 12: Text Mining 2) | 1 |
| 20 | Committee-based Decision Making in Probabilistic Partial Parsing | 1 |
About Takashi Inui
Takashi Inui is a scholar working on Artificial Intelligence, Developmental Neuroscience and Information Systems, having authored 23 papers that have together received 439 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Advanced Text Analysis Techniques (9 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (391 citations), Information Systems (66 citations) and Statistical and Nonlinear Physics (33 citations). Takashi Inui has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Manabu Okumura, Hiroya Takamura, Kentaro Inui, Yūji Matsumoto, Mikio Yamamoto, Akinori Zukeran, H. Kawakami, Masamichi Ishikawa, Yoshiyasu Ehara and Koji Yasumoto. Their work appears in journals such as ACM Transactions on Asian Language Information Processing, Transactions of the Japanese Society for Artificial Intelligence and North American Chapter of the Association for Computational Linguistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.