Sentimental analysis kia hoti hai?

Re: Sentimental analysis kia hoti hai?

market main planing kar k hi um cahi trade kar k hi hum run kar skaty hain, so hamain is forex main emotion ko kabo main rakh k hi hum sucss hon gay, so hamain mind ko fresh kar k hi hum achy say trade kar k skaty hain, so hamain market main up aur down ko dekhna ho ga.

Re: Sentimental analysis kia hoti hai?

frend s jin jko ayhun par in analysiskaren ate hyn to mera kahyal hy kaj un ko yahun paar si buznese maain loos nahin hota hooo ga is lir hum ko cahye kah ye buzhat hi ahtayt se hum logun ko is bunzees maain yahun paar tradigmn karni achey

Re: Sentimental analysis kia hoti hai?

is forex main planing kar k hi hu achi trade kar sakty hain, ,so hamain market main trend ko use kar k hi hu real mmain bi trade kar skaty hain, ,so hamamin market main nalsye kar k hi hum real main bi trade karny k kabil ho sakty hain, ,so hamain market main run karein gay,

Re: Sentimental analysis kia hoti hai?

Ham jakar take profit Laga sakte hain kaun se question log Karte Hain Ki Yahan per take coffee lagane ka kya fayda hai aur technos lagane ka bhi kya fayda hai account constable rakhne ke liye Hamen apni aadami ko control Mein rakhne ke liye take loss aur take profit Ka Sahara Lena padta hai Jitna Achcha ham log kam karne ke liye ine chijon per depend Karenge

Re: Sentimental analysis kia hoti hai?

Ek baat Yad rakhen sentiment analysis ho ya job analysis Hamara analysis strong Hona chahie market movement ke about Hona chahie Jab Bhi Ham market movement against analysis Karenge Hamen kabhi bhi Sharafat se nahin Hoga aur maximum chances hain ki Hamen big dinosaur account wash Ho Jaaye isliye Apne analysis ko Hamesha market ke movement ke sath rakhne ki koshish karen

Re: Sentimental analysis kia hoti hai?

sentimental analysis Ho technical analysis ho ya Pir fundamental analysis of Yahan per aapko Achcha profit aapki mehnat se mil sakta hai aur tabhi mil sakta hai Jab aapka analysis aapke Apne knowledge or experience ke according Hoga aur kabhi bhi market ke train ke against Nahin Hoga Mrs isliye Apne analysis ko Hamesha market ki movement ke sath rakhen tour ke accha profit Hasil ho jaaye

Re: Sentimental analysis kia hoti hai?

Sentimental analysis ka matlab hota hai ki Yahan Apne proper science ke sath market ko analyse kiya jaaye market ki psychology ko samjhaye usko follow karte hue acche analysis ke sath trade open karke Achcha profit Hustle karne ki koshish ki Jaaye aur Aisa bahut kam log Karte Hain Har Koi Yahan per indicators ko follow karne ki koshish Karta Hai Hamen Apne mind ko follow karne ki koshish Karni chahie

Sentimental Analysis: Ek Jaiza


Sentimental analysis, jise aam tor par opinion mining bhi kaha jata hai, ek aisa process hai jisse hum kisi text ya statement ke jazbat ya ahsaas ko samajhte hain. Ye technology aksar social media, customer reviews, aur feedback systems mein istemal hoti hai.
1. Sentimental Analysis Ki Pehchaan


Sentimental analysis ka maksad yeh hota hai ke kisi bhi text ya communication ke andar chhupe hue jazbat ko pehchana ja sake. Yeh technology natural language processing (NLP) par based hai, jo computer ko insani zuban samajhne ki salahiyat deta hai.
2. Tareekhi Background


Sentimental analysis ka concept 2000 ki daur mein ubhar kar saamne aaya. Pehle pehlu mein logon ne manually texts ka analysis kiya, lekin technology ke taraqqi ke sath ab yeh kaam automated ho gaya hai.
3. Types of Sentiment Analysis


Sentimental analysis ko mukhtalif categories mein divide kiya ja sakta hai. Inmein se kuch hain:

• Polarity Classification: Yahan text ko positive, negative ya neutral categories mein rakhte hain.
• Emotion Detection: Yeh process jazbat ko specific emotions jaise khushi, gham, gussa, ya bechaini ki roshni mein samajhta hai.

4. Iska Amal Kaise Kiya Jata Hai?


Sentimental analysis ka amal karne ke liye mukhtalif algorithms aur techniques istemal hoti hain. Machine learning, deep learning, aur linguistic rules in techniques mein shamil hain.
5. Natural Language Processing


Natural language processing, jo ke AI ka ek hissa hai, is process ka buniyadi pehlu hai. NLP ki madad se computers insani zuban ko samajhne aur process karne ki koshish karte hain.
6. Sentiment Analysis Ka Mahatva


Aaj ke digital daur mein, businesses aur organizations ke liye customer feedback ko samajhna bohat zaroori hai. Sentimental analysis ki madad se wo apne customers ke jazbat ko jaan sakte hain aur apne products ya services mein behtari la sakte hain.
7. Social Media Par Sentiment Analysis


Social media platforms jaise Twitter aur Facebook par log apne jazbat aur rayein izhar karte hain. Sentimental analysis ki madad se in platforms par trends aur public opinion ko samjha ja sakta hai.
8. Business Applications


Businesses sentimental analysis ka istemal karte hain taake wo customer satisfaction ko behtar bana sakein. Is se unhe maloom hota hai ke kis tarah ke products ya services unke liye behtar hain.
9. Challenges in Sentiment Analysis


Sentimental analysis mein kuch challenges hain. Misal ke taur par, sarcasm, irony, aur cultural context ko samajhna mushkil hota hai. Yeh challenges analysis ko complex bana dete hain.
10. Tools and Technologies


Aaj kal kai tools aur technologies available hain jo sentimental analysis mein madadgar sabit hoti hain. In tools mein Python ke libraries jese NLTK, TextBlob aur VADER shamil hain.
11. Case Studies


Mukhtalif organizations ne sentimental analysis ka istemal karke apne kaam mein behtari dekhi hai. Misal ke taur par, ek coffee shop ne apne customers ke feedback ko analyse karke apne menu mein tabdeeli ki aur is ka asar unki sales par dekha.
12. Future Trends


Sentimental analysis ka future bohot bright hai. Jaise jaise technology taraqqi karegi, iski accuracy aur efficiency mein bhi izafa hoga. AI aur machine learning ke advancements se ye process aur bhi behtar hota jayega.
13. Ethical Considerations


Sentimental analysis ke istemal mein kuch ethical concerns bhi hain. Jaise ke data privacy aur user consent. Organizations ko chahiye ke wo in cheezon ka khayal rakhein jab wo data collect karte hain.
14. Conclusion


Sentimental analysis ek powerful tool hai jo businesses aur organizations ko unke customers ke jazbat ko samajhne mein madad karta hai. Iska istemal aaj ke digital mahol mein bohot zaroori hai, aur iski ahmiyat aane wale waqt mein aur bhi barh jayegi. Technology ke is daur mein, agar organizations ko market mein rehna hai, to unhein is tool ko samajhna aur istemal karna hoga.

**Sentiment Analysis kia hoti hai?**
Sentiment analysis aik technique hai jo text ya speech mein emotions aur sentiments ko identify karti hai. Isay natural language processing (NLP) aur machine learning ki madad se perform kiya jata hai. Yah technique companies, researchers, aur analysts ke liye bohat useful hai, kyun ke is se unhein customer feedback, reviews, aur social media posts ko samajhnay mein madad milti hai. Isko samajhne ke liye kuch important points yeh hain:

1. **Sentiment Analysis ka Maqsad:**
- Sentiment analysis ka maqsad yeh hota hai ke kisi bhi text mein likhe gaye emotions ko samjha jaye. Yeh identify karta hai ke text positive, negative, ya neutral sentiment ka izhar kar raha hai.

2. **Istemaal ki Jagahain:**
- Companies apni products ke reviews ya customer feedback ko analyze karti hain taake unhein yeh pata chal sake ke customers unke baray mein kya soch rahay hain.
- Social media posts aur comments ki analysis se brands ko public perception ke baray mein insight milti hai.
- Political campaigns aur news articles mein bhi sentiments ka tajziya kiya jata hai taake public ka mood samjha ja sake.

3. **Algorithm ka Kirdar:**
- Sentiment analysis ke liye supervised aur unsupervised learning ka istemaal hota hai. Supervised learning mein labeled data ko train karwa kar analysis ki jati hai, jab ke unsupervised learning mein patterns aur clusters ko identify kiya jata hai.

4. **Lexicon Based aur Machine Learning Methods:**
- Sentiment analysis mein do tareeqay aam tor par istemaal hote hain. Pehla lexicon-based approach, jisme specific words ke meaning aur unka context samjha jata hai.
- Doosra machine learning models ka istemaal hota hai jisme system ko train kiya jata hai ke wo phrases aur sentences ka sentiment accurately predict kar sake.

5. **Challenges:**
- Emotions complex hote hain aur kai dafa irony, sarcasm, aur complex language ko detect karna mushkil hota hai. Is wajah se 100% accurate sentiment analysis karna mushkil hota hai.

6. **Sentiment Scoring:**
- Kuch systems sentiment ko score assign karte hain, jese ke -1 negative, 0 neutral, aur +1 positive. Is tarah ka score business aur marketing strategies bananay mein madadgar hota hai.

7. **Advanced Techniques:**
- Aik aur advanced technique "aspect-based sentiment analysis" hoti hai, jisme text ke specific features ya aspects par sentiments ko focus karte hain.