Incorporating topic information into semantic analysis models

نویسندگان

  • Tony Mullen
  • Nigel Collier
چکیده

This paper reports experiments in classifying texts based upon their favorability towards the subject of the text using a feature set enriched with topic information on a small dataset of music reviews hand-annotated for topic. The results of these experiments suggest ways in which incorporating topic information into such models may yield improvement over models which do not use topic information.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Joint Semantic Vector Representation Model for Text Clustering and Classification

Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...

متن کامل

Topic Modeling over Short Texts by Incorporating Word Embeddings

Inferring topics from the overwhelming amount of short texts becomes a critical but challenging task for many content analysis tasks, such as content charactering, user interest profiling, and emerging topic detecting. Existing methods such as probabilistic latent semantic analysis (PLSA) and latent Dirichlet allocation (LDA) cannot solve this problem very well since only very limited word co-o...

متن کامل

Developing a BIM-based Spatial Ontology for Semantic Querying of 3D Property Information

With the growing dominance of complex and multi-level urban structures, current cadastral systems, which are often developed based on 2D representations, are not capable of providing unambiguous spatial information about urban properties. Therefore, the concept of 3D cadastre is proposed to support 3D digital representation of land and properties and facilitate the communication of legal owners...

متن کامل

cluTM: Content and Link Integrated Topic Model on Heterogeneous Information Networks

Topic model is extensively studied to automatically discover the main themes that pervade a large and unstructured collection of documents. Traditional topic models assume the documents are independent and there are no correlations among them. However, in many real scenarios, a document may be interconnected with other documents and objects, and thus form a text related heterogeneous network, s...

متن کامل

Strategies for Incorporating Data Exchange Standards in E-business Taxonomies

Product models are very suitable for data exchange between software systems. They, however, have less effectiveness when it comes to exchange of information in a semantic web environment. Users need to have the ability to use industry terminology and standard vocabulary. Ontologies have been used by industries to establish effective semantic web environment for e-business and the exchange of in...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004