Linguistic Analysis and Data Science

謝舒凱 Aber 德國杜賓根大學計算語言學博士|中研院語言學研究所博士後研究員| 台灣大學語言學研究所副教授

施孟賢 Simon 台灣大學語言學博士班

張瑜芸 Taco 台灣大學語言學博士班

• MOOC [自主學習] 能否從容面對新的知識技術？
• MAKE [手作創造] 能否口手合一？
• HACK [效率改變] 能否自己找出解決辦法？
• Humanities [鑑賞與溝通] 人文社會關懷 終極目的 倫理思考

嵌入、穿戴、社群、、、

• 當人都變成了巨量數據的集合
• 物聯網，車聯網，衣聯網，腦聯網

• 不同類型的數據

Biological signals, music, images, video, customer reviews, webpages, medical records, software, game logs, social networks, environmental signals, astro-data, neuron spikes, etc.

• Symbolic and Signal data

This frontier is expanding vastly thanks to new developments in mathematical modelling, algorithms, data management and computing infrastucture. It is having a profound impact not only in science and medicine, but also in e-commerce, marketing, humanities and society at large. Inference and learning with massive datasets is also the key ingredient of the intelligent machines of the future.

一句話：把數據變成資訊以供預測應用的科學

文本數據分析：（DS 的一支）利用 NLP + ML 對於文本數據做各種預測與應用

• [Data Science] Linguistic/textual data processing
• [Natural Language Processing] Linguistic/textual information processing
• [Semantics, Ontologies, AI and Language Understanding] Linguistic/textual knowledge processing

This course will provide an introduction to this exciting growing cross-disciplinary field. It will teach the basic principles and skills required for analysing textual data in a programmable way: finding linguistic patterns, dimensionality reduction, clustering, classification and prediction. Students will also have the opportunity of learning R and command-line programming.