اگر به افزایش سئو سایت فکر میکنید روش Tf idf میتواند به شما کمک کند تا با رعایت فراوانی وزنی کلمه کلیدی که با حوزه کسب و کار شما همخوانی دارد سئو سایت خود را افزایش دهید. اگر تمامی موارد را در استراتژی کسب و کار خود با کمک مشاور دیجیتال مارکتینگ رعایت کنید میتوانید کسب و کار خود را ارتقا دهید و در زمینه بیزینس خود بدرخشید. یکی از راهکارهای افزایش بازدید سایت و ارتقا رتبه گوگل رعایت فراوانی وزنی کلمه کلیدی است. با توجه به اهمیت تولید محتوا توسط تیم تولید محتوا و کمک بهترین شرکت طراحی سایت در شیراز به شکل حرفهای از تاثیر بالایی برخوردار است.
اطلاع از اهمیت روش Tf idf به شما کمک میکند کیفیت محتوای شما ارتقای چشمگیری پیدا کند تا بتوانید از رقبای خود پیشی بگیرید و نسبت به آنها متفاوت باشید. گوگل با تشخیص و درک محتواهای وبسایت شما موضوعات نوشته شده را به راحتی تشخیص میدهد و در صورت صحیح نوشته شدن و یونیک بودن به آن ارزش میبخشد به این آنالیز دقیق Tf idf گویند.
![TF-IDF چیست](data:image/webp;base64,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فراوانی وزنی کلمه کلیدی یا همان Tf idf چیست؟
شاید از خود بپرسید روش Tf idf چیست؟ فراوانی وزنی کلمه کلیدی یا همان Tf idf (term frequency-inverse document frequency) روشی آماری بر پایه هوش مصنوعی است که برای محاسبه میزان اهمیت کلمه یا چگالی کلمه کلیدی در یک متن یا مستند استفاده میشود. این روش از دو عامل TF و IDF تشکیل شده است که به ترتیب نشان دهنده تعداد تکرار یک کلمه در یک متن و معکوس تعداد متونی هستند که یک کلمه در آنها ظاهر شده است. با ضرب این دو عامل، مقدار TF-IDF به دست میآید که میتواند اهمیت نسبی یک کلمه را در یک مجموعه از متون را نشان دهد.
روش Tf idf به صورت عمقی و تخصصی و معیارهای خاص، محتوا را تحلیل میکند و نشان میدهد کلمه کلیدی چندین بار در محتوا شما استفاده شده است.
مثال کاربردی برای روش Tf idf
برای درک بهتر و آشنایی با روش Tf idf برای شما مثالی آوردهایم تا با تحلیل آن بتوانید بهتر متوجه شوید که فراوانی وزنی کلمه کلیدی یا Tf idf چیست؟
متن 1 |
من از غذای این رستوران خوشم آمد |
متن 2 |
غذای رستوران خیلی خوب بود ولی رفتار پرسنل نه |
متن 3 |
جای پارک پیدا نمیشد و غذا خیلی دیر به دستمان رسید |
برای محاسبه TF-IDF برای هر کلمه، ابتدا باید تعداد تکرار آن کلمه در هر متن را بشمارید و سپس تعداد متونی که آن کلمه در آن استفاده شده است را بیابیم. برای مثال، کلمه "غذا" در متن ۱ یک بار، در متن ۲ یک بار و در متن ۳ یک بار تکرار شده است، پس TF آن برای هر متن برابر ۱ است. همچنین این کلمه در همه سه متن ظاهر شده است، پس IDF آن برابر است با معکوس تعداد متون که برابر ۱/۳ است. بنابراین، TF-IDF کلمه "غذا" برای هر متن برابر است با ۱×۱/۳ یعنی ۰.۳۳. این عدد نشان میدهد که کلمه "غذا" اهمیت متوسطی در این مجموعه از متون دارد.
به همین ترتیب میتوان برای سایر کلمات هم TF-IDF را محاسبه کرد. برای مثال، کلمه "رستوران" در متن ۱ یک بار، در متن ۲ دو بار و در متن ۳ صفر بار تکرار شده است، پس TF آن برای متن ۱ برابر ۱، برای متن ۲ برابر ۲ و برای متن ۳ برابر صفر است. همچنین این کلمه فقط در دو متن ظاهر شده است، پس IDF آن برابر است با معکوس تعداد متون که برابر ۱/۲ است. بنابراین، TF-IDF کلمه "رستوران" برای متن ۱ برابر است با ۱×۱/۲ یعنی ۰.۵، برای متن ۲ برابر است با ۲×۱/۲ یعنی ۱ و برای متن ۳ برابر است با ۰×۱/۲ یعنی صفر. این عدد نشان میدهد که کلمه "رستوران" اهمیت بالاتری در این مجموعه از متون دارد.
آشنایی کامل با TF (Term Frequency)
فرمول TF اندازهگیری تکرار یک کلمه در متن نسبت به کل کلمات محتوا است. این فرمول نشان میدهد که یک کلمه چند بار در یک متن ظاهر شده است. از لگاریتم برای نرمالسازی استفاده میشود، بهطوریکه میتوان آن را در کل متون وبسایتها مقایسه کرد. تنها فرکانس کلمه (Term Frequency) تعداد تکرار یک کلمه را نشان میدهد، اما این تنها بهخودی کافی نیست. در واقع باید اهمیت کلمات را نیز در نظر بگیریم. با استفاده از فرکانس معیار میتوان فهمید که یک کلمه چقدر در یک متن مهم است. برای محاسبه این موضوع، فرکانس معیار بر طول سند تقسیم میشود.
معرفی جامع IDF (Inverse Document Frequency)
یک قسمت دیگر از این الگوریتم مربوط به IDF است که معکوس فراوانی متن را محاسبه میکند. این مفهوم به معنای درک اهمیت هر کلمه در کل محتواست. این معیار مسئول شناسایی کلمات کمکاربرد و خاص است. همچنین، این معیار به فراوانی کلماتی که به طور مکرر استفاده شدهاند توجه میکند و طول محتوا را نیز در نظر میگیرد.
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افزایش سئو سایت با استفاده از ابزار TF-IDF با راهکار مناسب
افزایش سئو وبسایت اغلب به مجموعهای از روشها و ابزارهای مختلف بستگی دارد. استفاده از TF-IDF یکی از این ابزارهاست که میتواند سبب بهبود آگاهی از محتوای سایت و در نتیجه بهبود جایگاه در موتورهای جستجو را ارتقا دهد. در زیر چند راهکار برای استفاده از TF-IDF به منظور افزایش سئو سایت آورده شده است:
پژوهش و کشف کلمات کلیدی مناسب
استفاده از TF-IDF برای تحلیل کلمات کلیدی محتوای سایت و تشخیص کلمات کلیدی مهم و پراهمیت استفاده شده در متن، به بهبود استراتژی کلمات کلیدی شما کمک میکند. با شناخت کلمات کلیدی اصلی، میتوانید محتوایتان را بر اساس آنها بهینه کنید.
سازماندهی محتوا بر اساس اهمیت کلمات کلیدی
با استفاده از تحلیل TF-IDF، میتوانید کلماتی که اهمیت بالاتری در متن دارند را تشخیص دهید. سپس محتوای خود را به گونهای سازماندهی کنید که کلمات با اهمیت بیشتر بیشترین توجه را به خود جلب کنند.
تولید محتوای با کیفیت
با استفاده از روش TF-IDF، میتوانید کیفیت محتوایتان را ارتقا دهید. با شناخت کلماتی که در متنتان به طور متناسبی تکرار میشوند و اهمیت بالایی دارند، میتوانید محتوای متناسب و مفید تری ارائه دهید.
ارتقا ساختار سئو داخلی سایت
با استفاده از TF-IDF، میتوانید بهترین استراتژی ساختار برای سایت خود را بر اساس اهمیت کلمات تعیین کنید. ارتقا سئو داخلی کمک میکند تا صفحات مهمتر و با اهمیتتر سایت شما از دید موتورهای جستجو برجستهتر باشند.
تحلیل رقبا و گپ محتوایی
استفاده از TF-IDF به شما کمک میکند تا میزان استفاده از کلمات کلیدی توسط رقبای خود را بسنجید. گپ محتوایی کمک میکند ایدهای از موضوعاتی که رقبای شما به آنها توجه نکردهاند را به کار ببرید.
بهترین زمان استفاده از فرمول TF-IDF برای ارتقا سئو
فرمول TF-IDF یکی از روشهای محاسبه وزن کلمات در یک متن است که برای بهبود عملکرد موتورهای جستجو و تحلیل محتوا استفاده میشود. به طور کلی فرمول فراوانی وزنی کلمه کلیدی یک ابزار قدرتمند برای بهبود سئو و تحلیل محتوا است و زمان استفاده از آن هنگام بهینهسازی محتوا، تحلیل کلمات کلیدی و تحلیل رقبا میباشد. زمان استفاده از فرمول فراوانی وزنی کلمه کلیدی در ادامه نوشته شده است:
فرمول TF-IDF میتواند در بهبود سئو وبسایتها موثر باشد. با استفاده از این فرمول میتوانید کلمات کلیدی مهم را شناسایی کرده و سپس محتوای سایت خود را بر اساس کلمات کلیدی استخراج شده بهینهسازی کنید.
تحلیل محتوا به ما کمک میکند تا کلماتی که در یک متن بیشترین اهمیت را دارند شناسایی کنیم. اطلاعات به دست آمده در تحلیل محتوا، شناخت موضوعات و ارزیابی اهمیت متن میتواند کمک کننده باشد.
با تشخیص کلمات کلیدی مناسب میتوانید بهترین استراتژی محتوای خود را شناسایی کنید و در بهبود جایگاه و رتبهبندی سایت موثر واقع شوید.
با استفاده از TF-IDF میتوانید تحلیل کنید که کدام کلمات کلیدی توسط رقبای شما بیشتر استفاده میشود و کلماتی که رقبا بیشتر به آن توجه کردهاند را در استراتژی کلمات کلیدی خود به کار برید.
![فراوانی وزنی کلمه کلیدی](data:image/webp;base64,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سخن آخر
بهطور کلی TF-IDF ابزار قدرتمند برای بهبود سئو وبسایت شما است اما برای به کاربردن آن نیاز به تحلیل دقیق و استفاده درست از نتایج آن خواهید داشت. به کار بردن و محاسبه TF-IDF میتواند به بهبود رتبهبندی صفحات وب کمک زیادی کند. فراوانی وزنی کلمه کلیدی ابزاری برای ارزیابی اهمیت یک کلمه یا عبارت در یک سند نسبت به مجموعهی اسناد دیگر است. این روش به ازای هر کلمه در یک سند، مقداری را محاسبه میکند که نشان میدهد چقدر این کلمه در سند مورد نظر مهم است (TF) و همچنین چقدر این کلمه از دیگر سندها متمایز است (IDF) . با استفاده از این روش، کلماتی که در سند مورد نظر بار زیادی دارند اما در سایر سندها کمتر استفاده شدهاند، اهمیت بالاتری پیدا خواهند کرد.
استفاده از روش TF-IDF در محتوای وبسایت میتواند به بهبود سئو کمک کند زیرا موتورهای جستجو محتوای با اهمیت و منحصر به فرد را بیشتر برای کاربران نمایش میدهند . منجر به افزایش ترافیک وب و رتبهبندی در نتایج جستجو خواهد شد.