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akaturk Academic measurement

OpenAlex topic

Advanced Text Analysis Techniques

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 1,380 works 60 author topics

Works

1,380 works

  1. OpenAlex top 1% OpenAlex 99.9%

    Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, Mohammad AL-Smadi, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, Véronique Hoste, Marianna Apidianaki, Xavier Tannier, Natalia Loukachevitch, Evgeniy Kotelnikov, Nuria Bel, Salud María Jiménez-Zafra, Gülşen Eryiği…

  2. YÖKSİS SJR Q2 JCR Q3 OpenAlex top 10% OpenAlex 96.6%

    No abstract yet.

  3. YÖKSİS SJR Q1 JCR Q2 OpenAlex top 1% OpenAlex 99.3%

    No abstract yet.

  4. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  5. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  6. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.7%

    No abstract yet.

  7. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.8%

    Online social and news media generate rich and timely information about real-world events of all kinds. However, the huge amount of data available, along with the breadth of the user base, requires a substantial effort of information filtering to successfully drill down to relevant topics and events. Trending topic de…

  8. YÖKSİS SJR Q2 JCR Q3 OpenAlex top 1% OpenAlex 99.9%

    Summary Sentiment analysis is one of the major tasks of natural language processing, in which attitudes, thoughts, opinions, or judgments toward a particular subject has been extracted. Web is an unstructured and rich source of information containing many text documents with opinions and reviews. The recognition of se…

  9. OpenAlex top 1% OpenAlex 99.8%

    No abstract yet.

  10. YÖKSİS SJR Q1 JCR Q2 OpenAlex top 1% OpenAlex 99.9%

    Sarcasm identification on text documents is one of the most challenging tasks in natural language processing (NLP), has become an essential research direction, due to its prevalence on social media data. The purpose of our research is to present an effective sarcasm identification framework on social media data by pur…

  11. YÖKSİS SJR Q1 JCR Q2 OpenAlex top 1% OpenAlex 99.9%

    Sarcasm identification on text documents is one of the most challenging tasks in natural language processing (NLP), has become an essential research direction, due to its prevalence on social media data. The purpose of our research is to present an effective sarcasm identification framework on social media data by pur…

  12. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 93.2%

    No abstract yet.

Academicians

60 academicians