Text Analysis Tool TWeet lOcator - TAT2

نویسندگان

  • Adam Flizikowski
  • Marcin Przybyszewski
  • Anna Stachowicz
  • Tomasz Olejniczak
  • Rafal Renk
چکیده

Information about location and geographical coordinates in particular, may be very important during a crisis event, especially for search and rescue operations – but currently geo-tagged tweets are extremely rare. Improved capabilities of capturing additional location from Twitter (up to 4 times improvement) are crucial for response efforts given a vast amount of messages exchanged during a crisis event. That is why authors have designed a tool (Text Analysis TWeet lOcator – TAT2) that relies on existing open source text analysis tools with additional services to provide additional hints about people location. Validation process, complementing experimentation and test results, included involvement of end-users (i.e. Public Protection and Disaster Relief services and citizens during a realistic crisis exercise showcase. In addition, the integration of TAT2 with external tools has also been validated.

برای دانلود 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

Web Sentiment Analysis for Scoring Positive or Negative Words using Tweeter Data

As people are free to say their opinions on anything using various social networking sites like Twitter, Facebook, Discussion forums, and blogs. Particularly Microblogging and text messaging have emerged and become dominated tool over the web. Twitter messages (tweets) is often used to share opinions and sentiments about the surrounding world. The availability of social content generated on sit...

متن کامل

DLSI en Tweet-Norm 2013: Normalización de Tweets en Español

The lexical richness and its ease of access to large volumes of information converts the Web 2.0 into an important resource for Natural Language Processing. Nevertheless, the frequent presence of non-normative linguistic phenomena that can make any automatic processing challenging. In this paper is described the participation in the Text Normalisation Workshop at the SEPLN conference (Tweet-nor...

متن کامل

Topic Evolutionary Tweet Stream Clustering Algorithm and TCV Rank Summarization

Tweet are being created short text message and shared for both users and data analysts. Twitter which receive over 400 million tweets per day has emerged as an invaluable source of news, blogs, opinions and more. our proposed work consists three components tweet stream clustering to cluster tweet using k-means cluster algorithm and second tweet cluster vector technique to generate rank summariz...

متن کامل

Named Entity Recognition on Turkish Tweets

Various recent studies show that the performance of named entity recognition (NER) systems developed for well-formed text types drops significantly when applied to tweets. The only existing study for the highly inflected agglutinative language Turkish reports a drop in FMeasure from 91% to 19% when ported from news articles to tweets. In this study, we present a new named entity-annotated tweet...

متن کامل

Starvation Induces Vacuolar Targeting and Degradation of the Tryptophan Permease in Yeast

In Saccharomyces cerevisiae, amino acid permeases are divided into two classes. One class, represented by the general amino acid permease GAP1, contains permeases regulated in response to the nitrogen source. The other class, including the high affinity tryptophan permease, TAT2, consists of the so-called constitutive permeases. We show that TAT2 is regulated at the level of protein stability. ...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015