更改

* 我喜欢自己的手机，但不会向任何同事推荐（I love my mobile but would not recommend it to any of my colleagues）。(有保留的积极情绪，很难归类）

* 我喜欢自己的手机，但不会向任何同事推荐（I love my mobile but would not recommend it to any of my colleagues）。(有保留的积极情绪，很难归类）

== Types ==

== Types类型 ==

A basic task in sentiment analysis is classifying the ''polarity'' of a given text at the document, sentence, or feature/aspect level—whether the expressed opinion in a document, a sentence or an entity feature/aspect is positive, negative, or neutral. Advanced, "beyond polarity" sentiment classification looks, for instance, at emotional states such as enjoyment, anger, disgust, sadness, fear, and surprise. <ref> Vong Anh Ho, Duong Huynh-Cong Nguyen, Danh Hoang Nguyen, Linh Thi-Van Pham, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen. "Emotion Recognition

A basic task in sentiment analysis is classifying the ''polarity'' of a given text at the document, sentence, or feature/aspect level—whether the expressed opinion in a document, a sentence or an entity feature/aspect is positive, negative, or neutral. Advanced, "beyond polarity" sentiment classification looks, for instance, at emotional states such as enjoyment, anger, disgust, sadness, fear, and surprise. <ref name=":2"> Vong Anh Ho, Duong Huynh-Cong Nguyen, Danh Hoang Nguyen, Linh Thi-Van Pham, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen. "Emotion Recognition

for Vietnamese Social Media Text". In Proceedings of the 2019 International Conference of the Pacific Association for Computational Linguistics (PACLING 2019), Hanoi, Vietnam (2019).</ref>

for Vietnamese Social Media Text". In Proceedings of the 2019 International Conference of the Pacific Association for Computational Linguistics (PACLING 2019), Hanoi, Vietnam (2019).</ref>

情感分析的一个基本任务就是在文档、句子或者特征/方面层面上对给定文本的极性进行分类ーー文档、句子或者实体特征/方面表达的意见是正面的、负面的还是中性的。先进的“超极性”情绪分类研究，例如，在情绪状态，如享受，愤怒，厌恶，悲伤，恐惧，和惊讶。Vong Anh Ho, Duong Huynh-Cong Nguyen, Danh Hoang Nguyen, Linh Thi-Van Pham, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen.「越南社交媒体文字的情绪认知」。在《2019年太平洋计算机语言学协会国际会议论文集》(PACLING 2019)中，越南河内(2019)。

情感分析的最底层的任务是识别给定的情感评论文本中的极性倾向是正极性、负极性还是中性的。按照处理文本的粒度不同，情感分析可以分为篇章级、句子级和词语级三个研究层次。例如，高级的“超极性”情感分类研究关注的是情绪状态，如享受、愤怒、厌恶、悲伤、恐惧和惊讶。<ref name=":2" />

Precursors to sentimental analysis include the General Inquirer,<ref>Stone, Philip J., Dexter C. Dunphy, and Marshall S. Smith. "The general inquirer: A computer approach to content analysis." MIT Press, Cambridge, MA (1966).</ref> which provided hints toward quantifying patterns in text and, separately, psychological research that examined a person's [[psychological state]] based on analysis of their verbal behavior.<ref>Gottschalk, Louis August, and Goldine C. Gleser. The measurement of psychological states through the content analysis of verbal behavior. Univ of California Press, 1969.</ref>

Precursors to sentimental analysis include the General Inquirer,<ref name=":3">Stone, Philip J., Dexter C. Dunphy, and Marshall S. Smith. "The general inquirer: A computer approach to content analysis." MIT Press, Cambridge, MA (1966).</ref> which provided hints toward quantifying patterns in text and, separately, psychological research that examined a person's [[psychological state]] based on analysis of their verbal behavior.<ref name=":4">Gottschalk, Louis August, and Goldine C. Gleser. The measurement of psychological states through the content analysis of verbal behavior. Univ of California Press, 1969.</ref>

情感分析的先驱包括总询问者，斯通，菲利普 j. ，德克斯特 c. 邓菲，和马歇尔 s. 史密斯。一般询问者: 内容分析的计算机方法麻省理工学院出版社，剑桥，麻省理工学院(1966)。这为文本中的量化模式提供了线索，另外还有心理学研究，通过分析一个人的言语行为来检验他的心理状态。戈特沙尔克，路易斯 · 奥古斯特，戈尔丁 · c · 格莱泽。通过言语行为的内容分析测量心理状态。加州大学出版社，1969年。

情感分析的先驱包括 ''the General Inquirer''，''<ref name=":3" />'' 这为文本和心理学研究中的量化模式提供了线索，即根据对一个人的语言行为的分析来研究其心理状态。<ref name=":4" />

Subsequently, the method described in a patent by Volcani and Fogel,<ref>{{cite patent

Subsequently, the method described in a patent by Volcani and Fogel,<ref>{{cite patent