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Twitter Topic Summarization
49,90 € *
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Twitter Topic Summarization ab 49.9 € als Taschenbuch: . Aus dem Bereich: Bücher, Ratgeber, Lebenshilfe,

Anbieter: hugendubel
Stand: 31.05.2020
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NER for Opinion Summarization Over Twitter Dataset
54,90 € *
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NER for Opinion Summarization Over Twitter Dataset ab 54.9 € als Taschenbuch: Named Entity Recognition for Opinion Summarization Using Tweet Segmentation Over Twitter Dataset. Aus dem Bereich: Bücher, Wissenschaft, Medienwissenschaft,

Anbieter: hugendubel
Stand: 31.05.2020
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NER for Opinion Summarization Over Twitter Dataset
54,90 € *
ggf. zzgl. Versand

NER is an important subtask in information extraction which suffers severely from the noisy nature and short length of tweets. Toward addressing these problems, Here NER system uses tweet segmentation, POS tagging, global and local context together to identify candidate named entities from the noisy Twitter stream and random walk model to identify final named entities. Also, the system generates a tweet summary for each identified named entity. The experimental results for tweet dataset with tweet segmentation, POS tagging, and different K values prove the effectiveness of this NER system.

Anbieter: buecher
Stand: 31.05.2020
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NER for Opinion Summarization Over Twitter Dataset
56,50 € *
ggf. zzgl. Versand

NER is an important subtask in information extraction which suffers severely from the noisy nature and short length of tweets. Toward addressing these problems, Here NER system uses tweet segmentation, POS tagging, global and local context together to identify candidate named entities from the noisy Twitter stream and random walk model to identify final named entities. Also, the system generates a tweet summary for each identified named entity. The experimental results for tweet dataset with tweet segmentation, POS tagging, and different K values prove the effectiveness of this NER system.

Anbieter: buecher
Stand: 31.05.2020
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Twitter Topic Summarization
49,90 € *
ggf. zzgl. Versand

Twitter Topic Summarization ab 49.9 EURO

Anbieter: ebook.de
Stand: 31.05.2020
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Twitter Topic Summarization
49,90 € *
ggf. zzgl. Versand

In todays Internet world, so many people are using social media services such as Twitter, Facebook, Google+ etc. Automatic summarization of Twitter messages (tweets) is an urgent need for efficient processing of the tweeted information.Twitter topic summarization deals with short, dissimilar, and noisy nature of tweets. In this work, from given twitter tweet under particular trending topic first we recognize speech acts(i.e statement,Suggestion,Question and Comment) in tweets.Depending on majority of speech act we extract key words and phrases from the tweets.Then extracted key words and phrases are ranked and inserted into special summary templates which is designed for speech acts. Finally we generate template based summary. This proposed approach makes a solid contribution to the summarization community.

Anbieter: Dodax
Stand: 31.05.2020
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NER for Opinion Summarization Over Twitter Dataset
54,89 € *
ggf. zzgl. Versand

NER is an important subtask in information extraction which suffers severely from the noisy nature and short length of tweets. Toward addressing these problems, Here NER system uses tweet segmentation, POS tagging, global and local context together to identify candidate named entities from the noisy Twitter stream and random walk model to identify final named entities. Also, the system generates a tweet summary for each identified named entity. The experimental results for tweet dataset with tweet segmentation, POS tagging, and different K values prove the effectiveness of this NER system.

Anbieter: Dodax
Stand: 31.05.2020
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Methods for Mining and Summarizing Text Convers...
79,90 CHF *
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Due to the Internet Revolution, human conversational data -- in written forms -- are accumulating at a phenomenal rate. At the same time, improvements in speech technology enable many spoken conversations to be transcribed. Individuals and organizations engage in email exchanges, face-to-face meetings, blogging, texting and other social media activities. The advances in natural language processing provide ample opportunities for these 'informal documents' to be analyzed and mined, thus creating numerous new and valuable applications. This book presents a set of computational methods to extract information from conversational data, and to provide natural language summaries of the data. The book begins with an overview of basic concepts, such as the differences between extractive and abstractive summaries, and metrics for evaluating the effectiveness of summarization and various extraction tasks. It also describes some of the benchmark corpora used in the literature. The book introduces extraction and mining methods for performing subjectivity and sentiment detection, topic segmentation and modeling, and the extraction of conversational structure. It also describes frameworks for conducting dialogue act recognition, decision and action item detection, and extraction of thread structure. There is a specific focus on performing all these tasks on conversational data, such as meeting transcripts (which exemplify synchronous conversations) and emails (which exemplify asynchronous conversations). Very recent approaches to deal with blogs, discussion forums and microblogs (e.g., Twitter) are also discussed. The second half of this book focuses on natural language summarization of conversational data. It gives an overview of several extractive and abstractive summarizers developed for emails, meetings, blogs and forums. It also describes attempts for building multi-modal summarizers. Last but not least, the book concludes with thoughts on topics for further development. Table of Contents: Introduction / Background: Corpora and Evaluation Methods / Mining Text Conversations / Summarizing Text Conversations / Conclusions / Final Thoughts

Anbieter: Orell Fuessli CH
Stand: 31.05.2020
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Methods for Mining and Summarizing Text Convers...
45,99 € *
ggf. zzgl. Versand

Due to the Internet Revolution, human conversational data -- in written forms -- are accumulating at a phenomenal rate. At the same time, improvements in speech technology enable many spoken conversations to be transcribed. Individuals and organizations engage in email exchanges, face-to-face meetings, blogging, texting and other social media activities. The advances in natural language processing provide ample opportunities for these 'informal documents' to be analyzed and mined, thus creating numerous new and valuable applications. This book presents a set of computational methods to extract information from conversational data, and to provide natural language summaries of the data. The book begins with an overview of basic concepts, such as the differences between extractive and abstractive summaries, and metrics for evaluating the effectiveness of summarization and various extraction tasks. It also describes some of the benchmark corpora used in the literature. The book introduces extraction and mining methods for performing subjectivity and sentiment detection, topic segmentation and modeling, and the extraction of conversational structure. It also describes frameworks for conducting dialogue act recognition, decision and action item detection, and extraction of thread structure. There is a specific focus on performing all these tasks on conversational data, such as meeting transcripts (which exemplify synchronous conversations) and emails (which exemplify asynchronous conversations). Very recent approaches to deal with blogs, discussion forums and microblogs (e.g., Twitter) are also discussed. The second half of this book focuses on natural language summarization of conversational data. It gives an overview of several extractive and abstractive summarizers developed for emails, meetings, blogs and forums. It also describes attempts for building multi-modal summarizers. Last but not least, the book concludes with thoughts on topics for further development. Table of Contents: Introduction / Background: Corpora and Evaluation Methods / Mining Text Conversations / Summarizing Text Conversations / Conclusions / Final Thoughts

Anbieter: Thalia AT
Stand: 31.05.2020
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