Sentiment analysis means recognizing whether the text is sentimental or not, as well as the type of feelings, so that a text may contain three types of negative, neutral, and positive sentiments. Sentiment detection helps a lot to understand society’s views on various issues. To this end, many researches have been done in this field in recent years.

تگ‌ماینر به شما کمک می کند داده‌های برخط شبکه‌های اجتماعی را جمع‌آوری، تحلیل و گزارش کنید. این دانش به تولیدکنندگان محتوا ، بازاریابان ،محققان ،صاحبان کسب و کار خبرنگاران و….. کمک میکند که تحلیلی دقیق و جامع از جامعه هدف بدست آورده و استراتژی های خود را سنجیده و بهبود دهند و مهمتر از آن تاثیر فعالیت های خود را رصد و گزارش کنند.

Emotion analysis as the other product of Sahab Pardaz Data Mining Company is the first of its kind, designed to detect emotions in Persian texts. Past researches have mentioned several types of emotions, the most famous of which are joy, sadness, fear, disgust, anger, surprise, trust, and anticipation.

Ezāfe is one of the special features of the Persian language which helps produce phrases that are more meaningful than single words. The words connected together through Ezāfe must be joined and read together so that the correct meaning comes to the reader’s mind, like jomhuri-e islami-e Iran (جمهوریِ اسلامیِ ایران), divar-e bozorg-e chin (دیوارِ بزرگِ چین), nushabe-ye gazdar (نوشابهیِ گازدار).

Part-of-speech tagging also called the grammatically tagging of a word is one of the most basic needs of Intelligent Text Processing. In this process, words are identified in terms of nouns, verbs, and letters and more details are provided in the form of tagging. This tool is one of the strongest Persian language tagger which is able to detect 14 key grammatical tags.

Recognizing and tagging nouns within a text plays a key role in the science of natural language processing. Studies show that the most important contents of a text is often around nouns within a text. Thus, recognizing nouns within a text helps significantly in understanding that text meaning as well as its content.

Today, automatic recognition of text keywords is one of the most widely used branches of Natural Language Processing Science. The keywords of a text which contain its main topics are of great value to researchers and scientists. To do so, we have applied a comprehensive method in this tool, which is a combination of observer-based and non-observer-based ones.

Part-of-speech tagging also called the grammatically tagging of a word is one of the most basic needs of Intelligent Text Processing. In this process, words are identified in terms of nouns, verbs, and letters and more details are provided in the form of tagging. This tool is one of the strongest Persian language tagger which is able to detect 14 key grammatical tags.

Sahab Pardaz Data Mining Company

In modern times, the rapid advancement of information technology as well as the development of communication networks such as the Internet on the one hand, and the rapid growth of technology and communication tools such as smartphones, on the other hand, have created new media and paved the way for more communication and content sharing. The rapid growth has launched changes in the concepts of content production and information circulation. Sahab Pardaz Data Mining Company has been set up in 2015, with the aim of applying artificial intelligence technologies in recognizing, analyzing, and automating processes in new media and gaining knowledge from this huge amount of information. Our team consists of specialized and elite experts in the field of Machine Learning and Natural Language Processing. At the beginning, due to the complexity of Persian writing and the need to enrich Persian texts, we decided to start measures in Persian texts data mining, which eventually led to the production of completely unique products. We hope that all our measures in this area will lead to the advancement of science and the development of business in our dear Iran.