Text Analytics with Python: A Practical Real-World Approach to Gaining Actionable Insights from your Data

Dipanjan Sarkar

買這商品的人也買了...

相關主題

商品描述


Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization.

Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems.

What You Will Learn:

  • Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure
  • Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews
  • Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern


Who This Book Is For :
IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data

商品描述(中文翻譯)

從你的數據中使用Python獲得有用的洞察力。你將學習基本和高級概念,包括文本和語言的語法、結構和語義。你將專注於文本分類、聚類、主題建模和文本摘要等算法和技術。

《Text Analytics with Python》教授與自然語言處理和文本分析相關的技術,你將獲得選擇最適合解決特定問題的技術的能力。你將從整體上了解每種技術和算法的應用,並從微觀上理解數學概念,並實施它們來解決自己的問題。

你將學到什麼:
- 理解自然語言處理(NLP)和文本分析的主要概念和技術,包括語法和結構
- 構建文本分類系統,將新聞文章進行分類,使用主題建模和文本摘要分析應用程式或遊戲評論,以及聚類熱門電影劇情簡介並分析電影評論的情感
- 在NLP和文本分析中實施Python和流行的開源庫,如自然語言工具包(nltk)、gensim、scikit-learn、spaCy和Pattern

適合閱讀對象:
IT專業人士、分析師、開發人員、語言專家、數據科學家以及對語言學、分析和從文本數據中獲得洞察力感興趣的任何人。