| 000 | 02976namaa2200409uu 4500 | ||
|---|---|---|---|
| 001 | doab135417 | ||
| 003 | oapen | ||
| 005 | 20260218110427.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 240307s2024 xx |||||o ||| 0|eng d | ||
| 020 | _a9780850140606 | ||
| 020 | _a9780850140613 | ||
| 020 | _a9780850140620 | ||
| 020 | _aintechopen.111293 | ||
| 024 | 7 |
_a10.5772/intechopen.111293 _2doi |
|
| 040 |
_aoapen _coapen _d |
||
| 041 | 0 | _aeng | |
| 042 | _adc | ||
| 720 | 1 |
_aLi, Jinfeng _4edt |
|
| 245 | 0 | 0 |
_aAdvances in Sentiment Analysis _bTechniques, Applications, and Challenges |
| 260 |
_bIntechOpen _c2024 |
||
| 300 | _a1 online resource (134 p.) | ||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 490 | 1 |
_aArtificial Intelligence _v22 |
|
| 506 | 0 |
_fUnrestricted online access _2star |
|
| 520 | _aThis cutting-edge book brings together experts in the field to provide a multidimensional perspective on sentiment analysis, covering both foundational and advanced methodologies. Readers will gain insights into the latest natural language processing and machine learning techniques that power sentiment analysis, enabling the extraction of nuanced emotions from text. Key Features: •State-of-the-Art Techniques: Explore the most recent advancements in sentiment analysis, from deep learning approaches to sentiment lexicons and beyond. •Real-World Applications: Dive into a wide range of applications, including social media monitoring, customer feedback analysis, and sentiment-driven decision-making. •Cross-Disciplinary Insights: Understand how sentiment analysis influences and is influenced by fields such as marketing, psychology, and finance. •Ethical and Privacy Considerations: Delve into the ethical challenges and privacy concerns inherent to sentiment analysis, with discussions on responsible AI usage. •Future Directions: Get a glimpse into the future of sentiment analysis, with discussions on emerging trends and unresolved challenges. This book is an essential resource for researchers, practitioners, and students in fields like natural language processing, machine learning, and data science. Whether you're interested in understanding customer sentiment, monitoring social media trends, or advancing the state of the art, this book will equip you with the knowledge and tools you need to navigate the complex landscape of sentiment analysis. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/3.0/ _2cc _uhttps://creativecommons.org/licenses/by/3.0/ |
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| 546 | _aEnglish | ||
| 650 | 7 |
_aNatural language and machine translation _2bicssc |
|
| 720 | 1 |
_aLi, Jinfeng _4oth |
|
| 793 | 0 | _aDOAB Library. | |
| 856 |
_uhttps://docs.google.com/spreadsheets/d/1yKIrdCPDAG_9c22mwoOIO2DOhtj65Wqa/edit?usp=sharing&ouid=106555315294820607512&rtpof=true&sd=true _yList of Curated E-Books |
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| 942 | _cE-BOOK | ||
| 999 |
_c80934 _d80933 |
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