A Context-Aware Fuzzy Classification Technique for OLAP Text Analysis

2018 ◽  
pp. 73-85
Author(s):  
Anirban Chakrabarty ◽  
Santanu Roy ◽  
Sudipta Roy
Keyword(s):  
Text Analysis ◽  
Fuzzy Classification ◽  
Context Aware ◽  
Classification Technique

scholarly journals Decadal-Scale Vegetation Dynamics of Kolkata and Its Surrounding Areas, India Using Fuzzy Classification Technique

2012 ◽  
Vol 2 (4) ◽  
Author(s):  
Arun Mondal ◽  
Anirban Mukhopadhyay ◽  
Subhanil Guha ◽  
Sanada Kundu ◽  
Sandip Mukherjee ◽  
...  
Keyword(s):  
Vegetation Dynamics ◽  
Fuzzy Classification ◽  
Classification Technique ◽  
Decadal Scale ◽  
Surrounding Areas

scholarly journals A neuro-fuzzy classification technique using dynamic clustering and GSS rule generation

2017 ◽  
Vol 309 ◽  
pp. 683-694 ◽  
Author(s):  
Heisnam Rohen Singh ◽  
Saroj Kr. Biswas ◽  
Biswajit Purkayastha
Keyword(s):  
Fuzzy Classification ◽  
Dynamic Clustering ◽  
Rule Generation ◽  
Classification Technique ◽  
Neuro Fuzzy

Summarizing Opinions with Sentiment Analysis from Multiple Reviews on Travel Destinations

2018 ◽  
Vol 9 (2) ◽  
pp. 111-120
Author(s):  
Argha Roy ◽  
Shyamali Guria ◽  
Suman Halder ◽  
Sayani Banerjee ◽  
Sourav Mandal
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Efficient Method ◽  
Text Analysis ◽  
Human Life ◽  
Analysis Techniques ◽  
Classification Technique ◽  
Textual Data ◽  
The Web

Recently, the web has been crowded with growing volumes of various texts on every aspect of human life. It is difficult to rapidly access, analyze, and compose important decisions using efficient methods for raw textual data in the form of social media, blogs, feedback, reviews, etc., which receive textual inputs directly. It proposes an efficient method for summarization of various reviews of tourists on a specific tourist spot towards analyzing their sentiments towards the place. A classification technique automatically arranges documents into predefined categories and a summarization algorithm produces the exact condensed input such that output is most significant concepts of source documents. Finally, sentiment analysis is done in summarized opinion using NLP and text analysis techniques to show overall sentiment about the spot. Therefore, interested tourists can plan to visit the place do not go through all the reviews, rather they go through summarized documents with the overall sentiment about target place.

Application of a fuzzy classification technique in computer grading of fish products

1998 ◽  
Vol 6 (1) ◽  
pp. 144-152 ◽  
Author(s):  
B.-G. Hu ◽  
R.G. Gosine ◽  
L.X. Cao ◽  
C.W. de Silva
Keyword(s):  
Fuzzy Classification ◽  
Fish Products ◽  
Classification Technique

scholarly journals Enhancement of Text Analysis Using Context-Aware Normalization of Social Media Informal Text

2021 ◽  
Vol 11 (17) ◽  
pp. 8172
Author(s):  
Jebran Khan ◽  
Sungchang Lee
Keyword(s):  
Social Media ◽  
Text Analysis ◽  
State Of The Art ◽  
Context Aware ◽  
Intended Meaning ◽  
Text Data ◽  
Recall Accuracy ◽  
Wide Range ◽  
Textual Data ◽  
Noisy Text

We proposed an application and data variations-independent, generic social media Textual Variations Handler (TVH) to deal with a wide range of noise in textual data generated in various social media (SM) applications for enhanced text analysis. The aim is to build an effective hybrid normalization technique that ensures the use of useful information of the noisy text in its intended form instead of filtering them out to analyze SM text better. The proposed TVH performs context-aware text normalization based on intended meaning to avoid the wrong word substitution. We integrate the TVH with state-of-the-art (SOTA) deep-learning-based text analysis methods to enhance their performance for noisy SM text data. The proposed scheme shows promising improvement in the text analysis of informal SM text in terms of precision, recall, accuracy, and F1-score in simulation.

Summarizing Opinions with Sentiment Analysis from Multiple Reviews on Travel Destinations

2020 ◽  
pp. 310-320
Author(s):  
Argha Roy ◽  
Shyamali Guria ◽  
Suman Halder ◽  
Sayani Banerjee ◽  
Sourav Mandal
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Efficient Method ◽  
Text Analysis ◽  
Human Life ◽  
Analysis Techniques ◽  
Classification Technique ◽  
Textual Data ◽  
The Web

Recently, the web has been crowded with growing volumes of various texts on every aspect of human life. It is difficult to rapidly access, analyze, and compose important decisions using efficient methods for raw textual data in the form of social media, blogs, feedback, reviews, etc., which receive textual inputs directly. It proposes an efficient method for summarization of various reviews of tourists on a specific tourist spot towards analyzing their sentiments towards the place. A classification technique automatically arranges documents into predefined categories and a summarization algorithm produces the exact condensed input such that output is most significant concepts of source documents. Finally, sentiment analysis is done in summarized opinion using NLP and text analysis techniques to show overall sentiment about the spot. Therefore, interested tourists can plan to visit the place do not go through all the reviews, rather they go through summarized documents with the overall sentiment about target place.

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