ASSISTIVE CLOTHING DESIGNS FOR MENTALLY RETARDED

Clothing has always been a kind of status symbol and expression of the individual personality. People wear clothing for functional as well as for social reasons. People of all ages and in all circumstances of life are aware of the importance of appearance in perception of self and in their relations with other people. However, for those whose surrounding environment is limited by age, condition of health, or physical and mental handicaps, dressing properly is a very difficult and impossible task. Therefore there is an urgent need to design clothing according to their special requirements. The aim of this study was to design and develop functional clothing for mentally retarded respondents. A questionnaire was developed for personal interview to assess clothing practices & problems of the disabled. The identified clothing requirements were incorporated in garment designs and finally constructed. After wear trial the designed and constructed garments were found to be highly acceptable

Polarity Detection at Sentence Level

Opinions bear a very important place in the life of human beings. Human Beings are always surrounded by opinions, when a decision has to be taken; people always want to know the opinions of others. But as the impact of the web is increasing day by day, Web documents can be seen as a new source of opinions for the people. Large numbers of reviews are available on the Web related to every product. Whenever a customer buys any product, they express their feedbacks as opinions on the e-commerce website, thus it is very important to automatically analyze the huge amount of information on the web and develop methods to automatically classify the reviews. Opinion Mining or Sentiment Analysis is the mining of attitudes, opinions, and emotions automatically from text, speech, and database sources through Natural Language Processing (NLP). In this paper an opinion mining system is proposed using unsupervised technique to determine the polarity of sentences i.e. to classify the sentences as positive, negative or neutral. Negation is also handled in the proposed system. Experimental results using reviews of products show the effectiveness of the system